Work with thought leaders and academic experts in Statistics and Probability

Companies can greatly benefit from working with experts in the field of Statistics and Probability. These professionals can provide valuable insights and analysis to enhance decision-making processes, optimize business operations, and improve overall performance. By leveraging their expertise, companies can gain a competitive edge, identify trends and patterns, mitigate risks, and make data-driven decisions. Whether it's developing predictive models, conducting statistical analysis, or designing experiments, collaborating with a Statistics and Probability expert can lead to improved efficiency, increased accuracy, and better strategic planning. With their advanced knowledge and skills, these researchers can help companies unlock the full potential of their data and drive innovation.

Researchers on NotedSource with backgrounds in Statistics and Probability include Tyler Ransom, Ping Luo, Jeffrey Townsend, Dario Javier Zamora, Dmitry Batenkov, Ph.D., Edoardo Airoldi, Ariel Aptekmann, Carissa Pardamean, PhD, Baris Yoruk, Lea-Rachel Kosnik, Baidurya Bhattacharya, Dr Troy Smith, Ayse Oktay, and Denys Dutykh.

Tyler Ransom

Norman, Oklahoma, United States of America
8 Years Experience
Associate Professor of Economics at the University of Oklahoma
Education

Duke University

PhD, Economics / May, 2015

Durham, North Carolina, United States of America

Brigham Young University

B.A., Economics / May, 2009

Provo, Utah, United States of America
Experience

University of Oklahoma

Assistant Professor / August, 2017 — July, 2022

Associate Professor of Economics / August, 2022 — Present

Duke University

Postdoctoral Associate / July, 2015 — June, 2017

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (15)
Economics
Labor Economics
Economics of Education
Urban Economics
Applied Microeconomics
And 10 more
About
Tyler Ransom is an associate professor of economics at the University of Oklahoma. He received his Ph.D. in economics from Duke University in 2015. His research interests include labor economics, economics of education, urban economics, and machine learning applications. He has published papers in leading journals such as the Journal of Labor Economics, the Journal of Human Resources, and the Journal of Econometrics. He is also an associate editor of the Annals of Economics and Statistics and a research affiliate of IZA and GLO. He has taught courses on econometrics, data science, and economics of education at both undergraduate and graduate levels. He has received several awards and fellowships for his research and teaching, such as the OU Dodge Family College of Arts & Sciences Irene Rothbaum Outstanding Assistant Professor Award in 2022. He is proficient in various coding languages such as Matlab, Stata, R, Julia, Bash, Git, and LaTeX. He also has advanced language skills in Japanese.

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Ping Luo

Toronto, Ontario, Canada
8 Years Experience
Assistant Professor at Algoma University
Education

University of Saskatchewan

Ph.D., Biomedical Engineering / September, 2019

Saskatoon, Saskatchewan, Canada

Beijing Institute of Technology

M.Eng., Biomedical Engineering / June, 2015

Beijing

Hunan University

B.Eng., Computer Science / June, 2010

Changsha
Experience

Princess Margaret Cancer Centre

Postdoctoral Researcher / November, 2019 — Present

I work in Dr. Trevor Pugh's lab and design cancer diagnosis and treatment strategies by analyze cell-free DNA and single cell sequencing data

Princess Margaret Cancer Centre

Bioinformatics Specialist / September, 2023 — Present

I work in Dr. Tak Mak's lab and study tumor immunology using single cell and TCR sequencing data.

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (22)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 17 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.

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Jeffrey Townsend

New Haven, CT, Connecticut, United States of America
29 Years Experience
Professor of Biostatistics and Ecology & Evolutionary Biology
Education

Harvard University

Ph.D., Organismic and Evolutionary Biology / May, 2002

Cambridge, Massachusetts, United States of America

Brown University

Sc.B., Biology / May, 1994

Providence, Rhode Island, United States of America
Experience

Yale University

Professor / July, 2018 — Present

Elihu Professor of Biostatistics / July, 2018 — Present

Elihu Associate Professor of Biostatistics / July, 2017 — June, 2018

Associate Professor / July, 2013 — June, 2018

Associate Professor / July, 2013 — June, 2017

Assistant Professor / July, 2006 — June, 2013

University of Connecticut

Assistant Professor / August, 2004 — May, 2006

St. Ann's School

Teacher / September, 1994 — June, 1997

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (53)
Evolutionary Genomics
Microbiology
Infectious Diseases
Genetics
Cell Biology
And 48 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.

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Dario Javier Zamora

11 Years Experience
Ph.D. in physics with expertise in Statistical Physics, Complex Systems, Machine Learning, Data Analysis, and Information Theory
Education

National University of La Plata

Ph.D., Physics / August, 2020

La Plata
Experience

University of Insubria

Researcher / June, 2023 — Present

Brazilian Centre for Physics Research

Researcher / February, 2021 — January, 2022

National University of Tucuman and National Scientific and Technical Research Council

Researcher / March, 2022 — May, 2023

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (16)
Statistical Mechanics
Information Theory
Complex Systems
Mathematical Physics
Statistical and Nonlinear Physics
And 11 more
About
Dr. Dario Javier Zamora is a highly educated and experienced physicist. He received his Ph.D. in Physics from the National University of La Plata in 2020. Throughout his academic career, he has focused on conducting research in various areas of physics, including quantum mechanics, astrophysics, and statistical physics. After completing his doctoral studies, Dr. Zamora continued his research as a postdoctoral researcher at the Brazilian Centre for Physics Research. He then moved on to become a researcher at the University of Insubria in Italy, where he studied the properties of bacteria mobility and stochastic processes through simulations. Dr. Zamora has also held research positions at the National University of Tucuman and the National Scientific and Technical Research Council in Argentina. During this time, he worked on projects related to the dynamics of complex systems and the behavior of solar wind. In addition to his research work, Dr. Zamora has also been actively involved in teaching and mentoring students. He has served as a lecturer at the National University of La Plata, where he taught courses on statistical mechanics and information theory. He also worked as an Undergraduated Teaching Assistant at the National University of Tucuman, where he helped students with their coursework and lab experiments. He continues to be actively involved in research and teaching, and his work has been published in numerous prestigious scientific journals.

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Dmitry Batenkov, Ph.D.

New York City, New York, United States of America
15 Years Experience
A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science.
Education

Weizmann Institute of Science

Ph.D., Applied Mathematics / January, 2014

Rehovot
Experience

Tel Aviv University

Assistant Professor / July, 2019 — Present

Producing high-impact research in inverse problems, super-resolution, numerical analysis, signal processing, physics-informed machine learning, computational harmonic analysis, optimization, atmospheric remote sensing • Advised 4 postdocs, 2 PhD, 4 M.Sc. students and 3 undergraduates • Developed and taught an advanced graduate class on Inverse Problems and Super-Resolution

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (31)
Applied Harmonic Analysis
Sparse Representations
Numerical Analysis
Approximation Theory
Inverse Problems
And 26 more
About
I am passionate about solving big problems with scientific and computational tools. A highly experienced applied mathematician working in academia (faculty) and industry (consulting), with 15+ years of research and teaching expertise in inverse problems, signal processing, and data science. A highly-skilled software engineer and analyst/architect with 6+ years of experience as a technical lead in professional software development.

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Education

Università Bocconi

B.Sc., Institute for Quantitative Methods

Milano

Carnegie Mellon University

Ph.D., School of Computer Science

Pittsburgh, Pennsylvania, United States of America
Experience

Harvard University

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (44)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 39 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.

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Ariel Aptekmann

2 Years Experience
Bioinformatician at Hackensack Meridian Hospital Center for Discovery and Innovation
Education

University of Buenos Aires

PhD, Biological Chemistry, Bioinformatics / February, 2018

Buenos Aires

Rutgers, The State University of New Jersey

Postdoc, Computational Biology / March, 2021

New Brunswick, New Jersey, United States of America
Experience

Hackensack Meridian Hospital Center for Discovery and Innovation

Bioinformatician / March, 2021 — Present

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (22)
Computational biology
bioinformatics
metagenomics
evolution
Genetics
And 17 more
About
I am a bioinformatician and researcher in computational biology. My research focuses on the application of machine learning and data analysis to understand the molecular basis of disease. I also work on developing novel software tools for data management and analysis.

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Carissa Pardamean, PhD

Cambridge, Massachusetts, United States of America
13 Years Experience
Scientific writer and linguist with a wide variety of experiences, including bench science and data analytics. Have worked in research on smoking cessation and nicotine metabolism, colorectal cancer risk, virology, and RNA biology.
Education

University of California Los Angeles

PhD. Candidate, Molecular and Medical Pharmacology / June, 2022

Los Angeles, California, United States of America

Boston University School of Medicine

M.Sc., Graduate School of Medical Sciences / May, 2014

Boston, Massachusetts, United States of America

University of California Berkeley

B.A., Molecular and Cell Biology; Linguistics / May, 2011

Berkeley, California, United States of America
Experience

BioRealm Research

Data Scientist / January, 2015 — September, 2016

Bina Nusantara University

Scientific Writer and Editor / January, 2011 — September, 2016

Consultant for molecular biology and writing / September, 2016 — Present

Boston Children's Hospital

Clinical Research Associate / June, 2013 — June, 2016

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (17)
molecular virology
RNA biology
cellular biology
statistical analysis
scientific writing
And 12 more
About
As a scientific writer and editor, I have had 12+ years experience in scientific writing and editing as the in-house editor, translator, and molecular biology consultant for BioRealm and Bina Nusantara University. I have applied the writing and editing skills during my graduate study years to co-author and edit numerous grants to funding and manuscripts for publications. I have leveraged my training in linguistics to convey information in writing more efficiently and precisely. As a bench scientist, my most recent experiences (6 years) are on RNA biology and virology. I have an overall 10 years experience in molecular and cellular biology techniques. As a linguist, I currently am a lexical linguist, curating the Indonesian language database for Apple. SUMMARY/HIGHLIGHTS Bench science research experience: molecular virology \| RNA biology \| host\-virus interaction \| viral pathogenesis \| gammaherpesvirus \| molecular & cellular biology \| yeast genetics \| OB/GYN oncology Analytical/writing/editing non-bench research experience: nicotine addiction and metabolism \| colorectal cancer risk\, epidemiology\, pathogenesis \| thyroid disorder management \| rice agrogenetics \| linguistics and NPL \| AI/ML application on sciences Some conceptual knowledge (mainly through editing during graduate studies): vaccine candidate platform validation \| immunology \| endosomal recycling pathway Transferable skills: quick learner in new scientific fields and methods \| scientific writing for publications and grants \| basic and clinical studies \| independent project planning \| statistical analysis \| leadership and mentorship

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Baris Yoruk

16 Years Experience
Professor of Economics at State University of New York with publications in program impact evaluation, health economics and policy, survey analysis and mythology, and calculation of economic damages for real life forensic economics applications
Education

Boston College

Ph.D., Economics / August, 2008

Boston, Massachusetts, United States of America
Experience

State University of New York

Professor of Economics / August, 2008 — Present

Advanced Analytical Consulting Group

Affiliate / 2021 — Present

Institute of Labor Economics (IZA)

Research Fellow / 2021 — Present

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (27)
Public Economics
Health Economics
Applied Microeconomics
Economics and Econometrics
Public Health, Environmental and Occupational Health
And 22 more
About
I am a professor of economics in State University of New York system. I have more than 20 years of experience in conducting empirical economic research. I have more than 40 publications in leading economics, public policy, and public health journals. My research was futures in popular media outlets such as Wall Street Journal and New York Post. My research interests are applied microeconomics, health and health care economics, and labor economics. I have extensive experience in analyzing large data sets and surveys using the most advanced statistical and econometric methods including but not limited to difference-in-differences, regression discontinuity, and propensity score matching methods. I have experience in grant writing and my research was funded by National Institutes of Health. I also have experience in writing expert reports and served as an expert witness for cases that involve calculation economic damages due involuntary separation from a job.

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Lea-Rachel Kosnik

19 Years Experience
Professor of Economics, University of Missouri-St. Louis, a leading expert on hydropower regulation in the U.S., and other energy and environmental issues
Education

University of California Los Angeles College of Letters and Science

PhD, Economics

Los Angeles, California, United States of America
Experience

University of Missouri-St. Louis

Professor / 2004 — Present

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (24)
Environmental Economics
Energy Economics
Environmental Justice
Text/Content Analysis
Public & Regulatory Economics
And 19 more
About
Lea-Rachel Kosnik is a Professor of Economics at the University of Missouri-St. Louis. She received her BA and MA from the University of Michigan, Ann Arbor, and her PhD from the University of California, Los Angeles. Her research focuses on renewable energy and climate change, and she is considered a leading expert on the topic of hydroelectric energy generation in the U.S., and hydropower regulation by the Federal Energy Regulatory Commission. In recent years her research has expanded to include analyses of the academic economics profession itself, including with a focus on gender issues and DEI initiatives. Methodologically, her skill set includes textual analysis and natural language processing, along with traditional econometric techniques. In 2016 she received an honorable mention for article of the year from *Contemporary Economic Policy*, and in 2022 she gave the keynote address to the Illinois Economics Association. Dr. Kosnik is perhaps best known (in a service capacity) as the Association of Environmental and Resource Economist’s (AERE’s) Midwest representative, annually organizing the full track of AERE-sponsored environmental sessions at the Midwest Economic Association meetings. Dr. Kosnik has also served as President, Past-President, and Board Member of the Transportation and Public Utilities Group (TPUG), and as a Department Chair.

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Baidurya Bhattacharya

23 Years Experience
Computational mechanics, probabilistic risk analysis, statistical inference, Monte Carlo simulations
Education

Johns Hopkins University

PhD, Civil Engineering / January, 1997

Baltimore, Maryland, United States of America

Indian Institute of Technology Kharagpur

B.Tech (hons.), Civil Engineering / April, 1991

Kharagpur
Experience

University of Delaware

Visiting Professor / September, 2022 — Present

Assistant Professor / August, 2001 — February, 2006

Indian Institute of Technology Kharagpur

Professor / February, 2006 — Present

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (44)
computational materials science
probabilistic mechanics
Mechanical Engineering
Industrial and Manufacturing Engineering
Mechanics of Materials
And 39 more
About
Baidurya Bhattacharya is a highly accomplished and respected civil engineer with over 20 years of experience in the field. He was born in Kolkata, India and completed his B.Tech (hons.) in Civil Engineering from the prestigious Indian Institute of Technology Kharagpur in 1991. He then went on to pursue his PhD in Civil Engineering from Johns Hopkins University, which he completed in 1997. After completing his PhD, Bhattacharya started his academic career as a Visiting Professor at the University of Delaware. He then moved on to become an Assistant Professor at the same university, where he taught for several years and mentored numerous students. In 2005, he returned to his alma mater, Indian Institute of Technology Kharagpur, as a Professor in the Department of Civil Engineering. He has been a valuable member of the faculty and has made significant contributions to the department through his research and teaching. Bhattacharya's research interests lie in the areas of structural engineering, earthquake engineering, and soil dynamics. He has published numerous papers in reputable journals and has also presented his work at various international conferences. His research has been recognized and funded by prestigious organizations such as the National Science Foundation and the American Society of Civil Engineers. Aside from his academic career, Bhattacharya is also actively involved in consulting and has worked on various projects in collaboration with government agencies and private firms. He is known for his expertise and has received several awards and honors for his contributions to the field of civil engineering. Bhattacharya is a dedicated educator and mentor, and he continues to inspire and guide young engineers through his teaching and research. His passion for the field and his dedication to his students make him a highly respected figure in the academic community.

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Dr Troy Smith

16 Years Experience
Scholar with publications in problematic social media use, online behaviours and cybercrime with extensive training and experience in intelligence and analysis for national security
Education

Formato Educativo - Escuela de Negocios Internacional

Executive MBA

Madrid

The University of Trinidad and Tobago - Valsayn Campus

PhD, Institute of Criminology and Public Safety

Valsayn

University of the West Indies

BSc Chemistry with minor Analytical Chemistry

Saint Augustine
Experience

Trinidad and Tobago Ministry of National Security

September, 2008 — Present

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (6)
Cybercrime
Online Behaviours
Internet and Social Media Addiction / Problematic Use
Education
Statistics and Probability
And 1 more
About
Dr. Troy Smith is a distinguished figure in the intersection of cybercrime and online behaviours, with an impressive career in national security spanning over 15 years. His expertise has not only been instrumental in advancing research within these fields but has also significantly contributed to the development of strategic policies and frameworks at both national and international levels. His work is deeply rooted in understanding the complexities of cybercrime, cyberwarfare, and the psychological impacts of social media use, making him a pivotal contributor to initiatives aimed at enhancing digital and space domain collaboration across regions. With a solid foundation in cybercrime and the nuances of online behaviours, Dr. Smith's scholarly output includes a wealth of peer-reviewed articles, book chapters, and presentations that explore the depths of intelligence, cybercrime victimization, terrorist activities in cyberspace, online behaviours and maladaptive social media use landscape. Dr. Smith's role extends beyond research; he is actively involved in shaping the future of cybersecurity education and policy-making. He has played a crucial role in committees focused on developing graduate programs in cybercrime, sector mapping, and establishing national occupational standards. His expertise has also been recognized in international circles, as evidenced by his participation in the Organization of American States Cybersecurity publication and his recent involvement in Working Group 7 of the CYBERSPACE project funded by the European Union. As a contributor to the peer review process for several international journals, including the International Journal of Human-Computer Interaction, BMC Psychiatry, and Cyberpsychology, his insights have propelled forward the discourse on cybersecurity and online behaviour assessment. Dr. Smith's scholarly and professional achievements are further recognized through awards and participation in prestigious programs, such as the Executive MBA program in Spain and the EU Cyber Diplomacy Fellowship Programme. His extensive experience and ongoing contributions to cybersecurity and national security sectors underscore his standing as a leading expert and advocate for international collaboration and policy development in the fight against cybercrime. <br>

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Ayse Oktay

9 Years Experience
Assoc. Prof., Yildiz Technical University
Education

Gebze Institute of Technology

PhD, Computer Engineering / July, 2011

Gebze

Fatih University

MS, Computer Engineering / September, 2006

Istanbul

Fatih University

BS, Computer Engineering

Istanbul
Experience

Université Libre de Bruxelles, Belgium

Yildiz Technical University, Istanbul, Turkey

Associate Professor / September, 2021 — February, 2024

Yapay Nazar Inc.

Data Scientist, co-founder / May, 2015 — June, 2022

 Visual Reality Based Physical Therapy and Rehabilitation System (2017-2022): Worked on several projects for computer-guided physiotherapy and serious games with various sensors with Becure Inc. Adopted machine learning and deep learning algorithms for monitoring patients. Developed a facial emotion recognition model.  Market Shelf Analysis (2012-2015): Co-founded a start-up named Yapay Nazar Inc. for detection and counting the FMCGs in retail shelves using machine learning and image processing methods. Developed a mobile application for shelf detection and FMCG detection.  Managed a team of 5 employees.

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (35)
Medical image analysis
Computer vision
Machine learning
Pattern recognition
Data science
And 30 more
About
Experienced academic and researcher specializing in data science and computer vision, with a proven track record in academia and industry. Proficient in Computer Vision, Machine Learning, and Image Processing, with published many works recognized by over 1000 citations in peer-reviewed publications. Proven ability to collaborate effectively within multidisciplinary teams to tackle complex problems and deliver innovative solutions.  Advocate for teamwork, effective communication, and mentorship.

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Denys Dutykh

16 Years Experience
Professional Applied Mathematician, Modeller, and Advisor
Education

École Normale Supérieure Paris-Saclay

PhD, Centre de Mathématiques et de Leurs Applications / December, 2007

Cachan
Experience

Centre National de la Recherche Scientifique

Research scientist / October, 2008 — August, 2022

Professional scientific research in the field of Applied Mathematics

Khalifa University of Science and Technology

Associate Professor / August, 2022 — Present

Professional research and educational activities in the field of Applied Mathematics

Most Relevant Research Expertise
Statistics and Probability
Other Research Expertise (51)
Applied mathematics
fluid mechanics
scientific computing
numerical methods
Fluid Flow and Transfer Processes
And 46 more
About
Dr. Denys Dutykh initially comes from the broad field of Applied Mathematics. He did his Master's degree in numerical methods applied to the problems of Continuum Mechanics and a Ph.D. thesis at Ecole Normale Supérieure de Cachan (France) on the mathematical modeling of tsunami waves. After this, he was hired as a permanent research scientist at the Institute of Mathematics (INSMI) at the Centre National de la Recherche Scientifique (CNRS). His research activities have been conducted in the following years at the picturesque University Savoie Mont Blanc (USMB, France) in the field of mathematical methods applied to the modeling and simulation of nonlinear waves (mostly in Fluid Dynamics). The Habilitation thesis of Dr. Dutykh was defended there on the topic of the mathematical methods in the environment. Since then, his research interests have significantly broadened to include the Dimensionality Reduction methods in Machine Learning, modeling of PV panels, and even some more theoretical questions in the Number Theory.

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Example Statistics and Probability projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Statistics and Probability?

Optimizing Marketing Campaigns

A Statistics and Probability expert can analyze marketing data to identify the most effective strategies, target the right audience, and optimize marketing campaigns. By leveraging statistical models and techniques, companies can improve customer segmentation, personalize marketing messages, and maximize return on investment.

Forecasting Demand

Accurate demand forecasting is crucial for inventory management and production planning. A Statistics and Probability researcher can develop forecasting models based on historical data, market trends, and external factors. This can help companies optimize inventory levels, reduce costs, and meet customer demand more efficiently.

Risk Assessment and Management

Companies face various risks, such as financial risks, operational risks, and market risks. Statistics and Probability experts can analyze data, identify potential risks, and develop risk management strategies. By quantifying and mitigating risks, companies can make informed decisions, protect their assets, and ensure long-term sustainability.

Quality Control and Process Improvement

Statistics and Probability researchers can help companies improve product quality and optimize manufacturing processes. By analyzing data from production lines, they can identify bottlenecks, detect defects, and implement statistical process control techniques. This can lead to reduced waste, increased efficiency, and enhanced customer satisfaction.

Fraud Detection and Prevention

Fraudulent activities can have a significant impact on businesses. Statistics and Probability experts can develop algorithms and models to detect anomalies, identify potential fraud patterns, and implement fraud prevention measures. By leveraging advanced statistical techniques, companies can minimize financial losses and protect their assets.