Work with thought leaders and academic experts in Statistics, Probability and Uncertainty

Companies can greatly benefit from working with experts in the field of Statistics, Probability and Uncertainty. These experts can provide valuable insights and analysis to help companies make data-driven decisions, optimize processes, and mitigate risks. By leveraging their expertise, companies can improve forecasting accuracy, identify patterns and trends, and develop predictive models. Whether it's optimizing marketing campaigns, improving supply chain management, or enhancing risk assessment, collaborating with Statistics, Probability and Uncertainty experts can lead to improved business outcomes and competitive advantage.

Researchers on NotedSource with backgrounds in Statistics, Probability and Uncertainty include Tyler Ransom, Edoardo Airoldi, Tim Leung, Athul Prasad, Olya Skulovich, Do-Yeong KIM--http://www.ajou.ac.kr/abiz/professor/prof-search-popup.do, Hussein Al-Hussein, Ayse Oktay, Dr. Erin Westgate, Ph.D., Baris Yoruk, Baidurya Bhattacharya, and Brian Bushee.

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

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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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

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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Tim Leung

15 Years Experience
Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
Education

Princeton University

PhD, Operations Research & Financial Engineering

Princeton, New Jersey, United States of America

Cornell University

B.S., Operations Research & Industrial Engineering / May, 2003

Ithaca, New York, United States of America
Experience

University of Washington

Professor / 2016 — Present

Columbia University

Assistant Professor / 2011 — 2016

Johns Hopkins University

Assistant Professor / 2008 — 2011

Research Expertise (22)
Computational Finance
Risk Management
Portfolio Optimization
ETFs
Finance
And 17 more
About
Tim Leung is a professor of operations research and financial engineering at the University of Washington. He holds a PhD from Princeton University and a B.S. from Cornell University. He has held previous positions as an assistant professor at Columbia University and Johns Hopkins University.

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Athul Prasad

17 Years Experience
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
Education

Massachusetts Institute of Technology

Master of Business Administration, Sloan School of Management / May, 2020

Cambridge, Massachusetts, United States of America

Aalto-yliopisto Sähkötekniikan korkeakoulu

Doctor of Science (Technology), Communication and Networking / December, 2015

Aalto

Aalto University

M.Sc. (Tech), Wireless Communications / March, 2011

Espoo
Experience

Nokia Solutions and Networks Oy

Senior Specialist, Radio Research / June, 2014 — January, 2023

Wireless research, scientific publications, patents

Samsung Electronics

Senior Manager / January, 2023 — Present

Technology partnership, strategy, business development

NEC Europe Ltd

Research Engineer / December, 2012 — May, 2014

Research Expertise (36)
Machine Learning
Mobility Management
5G / New Radio
Dynamic Resource Allocation
Electrical and Electronic Engineering
And 31 more
About
Dr. Athul Prasad received his MBA from MIT where he was a Sloan Fellow, M.Sc. (Tech.) (with distinction) and D.Sc. (Tech) from Aalto University, B.Tech (with distinction) from University of Kerala, and is also a graduate of the year-long executive management (LEAD) program from Stanford University's Graduate School of Business. He was with Nokia from 2014-2023 and is currently with Samsung based out of Mountain View, CA. He has coauthored over 40 peer reviewed scientific publications and has written a book on 5G "End-to-End Mobile Communications: Evolution to 5G," McGraw-Hill, Aug. 2020. He's also the co-inventor of over 90 patents.

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Olya Skulovich

New York, New York, United States of America
10 Years Experience
Earth and Environmental Engineering Ph.D. student at Columbia University
Education

Columbia University

Ph.D., Earth and Environmental Engineering

New York, New York, United States of America

Technion – Israel Institute of Technology

M.Sc., Civil and Environmental Engineering / December, 2014

Haifa
Experience

Technion - Israel Institute of Technology

Researcher / November, 2015 — June, 2017

Research interests: Optimization methods, Numerical modeling Administrative: grant writing, leading and coordinating research groups, presenting research ideas, results

Los Alamos National Laboratory

Intern / March, 2014 — May, 2014

Optimization methods

Research Expertise (14)
Soil moisture
Land-Atmosphere interaction
climate change
ML
carbon cycle modeling
And 9 more
About
My name is Olya (Ola) Skulovich, I am near completion of my Ph.D. in Earth and Environmental Engineering at Columbia University. During my Ph.D. program, I worked with remote sensing data and utilized machine learning to create long-term consistent soil moisture and vegetation optical depth datasets. In particular, my work included analyzing, regridding, and deseasonalizing remote sensing data from SMAP, SMOS, AMSR-E, and AMSR-2 satellite missions to prepare the data for machine learning. On the methodological side, I developed, tested, and fine-tuned Deep and Convolutional neural networks and built a unique transfer learning training scheme to merge the patched remote sensing data into a consistent dataset. The soil moisture dataset and the corresponding paper (Scientific Data – Nature family journal, https://doi.org/10.1038/s41597-023-02053-x ) have been published. The soil moisture dataset is the only consistent quality dataset available globally, covering 18 years, explicitly targeting soil moisture extremes and anomalies. The vegetation optical depth dataset is the only L-band dataset that spawns back to 2002. After developing the datasets, my research was focused on analyzing trends and variability of soil moisture, including spatiotemporal statistical analysis and identifying regions of different dynamics.  A part of my research was dedicated to modifying and analyzing the process-based carbon cycle model (CARDAMOM). It is a model that simulates carbon fluxes and pools by assimilating data using the Metropolis-Hastings Markov chain Monte Carlo method. My part of the project included developing two new model modules for assimilating solar-induced fluorescence and vegetation optical depth data, including developing model formulation, incorporating the modules in the main model (C and Python), adjusting model uncertainties, likelihood functions, and ecological dynamical constraints, as well as analyzing the updated model’s performance, information content effect, effect on constraining respiration flux and carbon pools. In addition to that, I participated as a collaborator in several research projects investigating the effects of soil moisture and land-atmosphere feedback on European and Siberian droughts and the spatiotemporal relationship between soil moisture dynamics and vegetation productivity.  I presented the results of my research at the American Geophysical Union (AGU) Fall Meetings in 2020, 2022, and 2023, the USMILE Kickoff Meeting 2020, USMILE Meeting 2022, and LEMONTREE Science Meeting: Soil Moisture Stress 2023. I take pride in building a compelling story from scientific findings and enjoy communicating my research to various stakeholders, creating captivating presentations, and engaging public speaking.

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Do-Yeong KIM--http://www.ajou.ac.kr/abiz/professor/prof-search-popup.do

23 Years Experience
- http://www.ajou.ac.kr/abiz/professor/prof-search-popup.do
Education

B.A., Psychology / August, 1996

Columbus, Ohio, United States of America

University of Washington

M.S., Social Psychology / July, 1998

Seattle, Washington, United States of America

University of Washington

Ph.D., Social and Personality Psychology / March, 2001

Seattle, Washington, United States of America
Experience

University of Illinois at Urbana-Champaign

Research and teaching fellow / March, 2001 — August, 2003

Macquarie University, Sydney, Australia

Assistant Professor / September, 2003 — August, 2005

Ajou University

Assistant Professor of Management / September, 2005 — August, 2007

OB/HR/Decision-making, Leadership, Cross-Cultural Management, International HRM

Research Expertise (24)
Basic and Applied Psychology
OB/IHRM
Decision-Making
ICT-Convergence
Social Psychology
And 19 more
About
\- https://scholar\.google\.com/citations?hl=en&user=exHSPo0AAAAJ -http://www.ajou.ac.kr/abiz/professor/prof-search-popup.do \- https://patents\.google\.com/?q=\(kim%2c\)&inventor=Do\-Yeong&assignee=ajou\+university&oq=Do\-Yeong\+kim%2c\+ajou\+university

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Hussein Al-Hussein

8 Years Experience
Adjunct Faculty, Mission College & De Anza College, California
Education

Stanford University

Electrical Enginering / March, 1990

Stanford, California, United States of America

Stanford University

MS, Electrical Engineering / January, 1981

Stanford, California, United States of America
Experience

Mission College

Adjunct Faculty / August, 2016 — Present

Teaching computer science courses like C++, data structures, and algorithms.

De Anza College

Adjunct Faculty / December, 2021 — Present

Teaching computer science courses like C++, data structures, and algorithms.

Research Expertise (29)
Image Processing
Computer Visions
OpenCV
Algorithms
OCR
And 24 more
About
Technical Skills: ·       **Programming Languages:** Python, OpenCV, C++ 11 and up, C, and Java. ·       **Image processing**: Image segmentation, alignment, registration, enhancement, filters, noise removal, binarization, object detection and identification, English & Arabic OCR, 2D barcode readers, watermarking, DCT (Discrete Cosine Transform), check cropping, industrial defect detection, and fault detection of assembled systems. ·       **Software Engineering Skills:** OOP, algorithms, data structures, SW processes, static and dynamic code analysis, algorithms performance, MISRA standards code compliance, Google C & C++ coding guidelines, git, and hg.   Cryptography

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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.

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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Dr. Erin Westgate, Ph.D.

5 Years Experience
Assistant Professor of Social Psychology, researching boredom, interest, and thinking (and why we're so bad at it)
Education

University of Virginia

Ph.D., Psychology

Charlottesville, Virginia, United States of America

Reed College

B.A., Psychology / May, 2010

Portland, Oregon, United States of America
Experience

University of Florida

Assistant Professor / 2019 — Present

The Ohio State University

Postdoctoral Researcher / 2018 — 2019

Research Expertise (17)
social psychology
social cognition
emotion
Psychiatry and Mental health
Clinical Psychology
And 12 more
About
**Dr. Erin Westgate** (she/her/hers) is an Assistant Professor of Psychology at the University of Florida, where she studies boredom, interest, and why some thoughts are more engaging than others. ​She received her PhD in social psychology from the University of Virginia in 2018, and her undergraduate degree from Reed College. Much of her research has been on the conditions under which people enjoy or do not enjoy their own thoughts. She has extended that work to the larger question of why people become bored, developing a new model of boredom that explains what boredom is, why we experience it, and what happens when we do.  As part of this, she is investigating our desire for a life full of interesting, perspective-changing experiences - or a “psychologically rich” life.

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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

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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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

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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Brian Bushee

26 Years Experience
Finance Professor at University of Pennsylvania
Education

University of Michigan

PhD, Accounting

Ann Arbor, Michigan, United States of America

Duke University

AB, Economics

Durham, North Carolina, United States of America
Experience

University of Pennsylvania

Professor / 2000 — Present

University of Chicago

Visiting Assistant Professor / 1999 — 2000

Harvard University

Assistant Professor / 1997 — 2000

Research Expertise (13)
Economics and Econometrics
Finance
Accounting
Pharmacology (medical)
Business and International Management
And 8 more
About
Brian Bushee is the Americus Brothers Professor of Accounting at the University of Pennsylvania. He is a Visiting Scholar at the University of Michigan and a Research Associate at the National Bureau of Economic Research. His research interests include the role of accounting information in capital markets, the effect of accounting disclosures on managerial incentives and resource allocation, and the economics of professional service firms. He has been published in the Journal of Accounting and Economics, the Journal of Accounting Research, and the Review of Accounting Studies, among other journals. He has been a consultant to the Securities and Exchange Commission and the Financial Accounting Standards Board.

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Example Statistics, Probability and Uncertainty projects

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

Optimizing Marketing Campaigns

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Improving Supply Chain Management

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Enhancing Risk Assessment

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Predictive Maintenance

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Fraud Detection

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