Work with thought leaders and academic experts in Statistics and Probability

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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>

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.

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.