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

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.

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.

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.

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.

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.

\- 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

**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.

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

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.

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.

Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University Stern School of Business. His research interests are in the areas of IT-enabled platforms, services and products, including mobile apps, social media, digital marketplaces, and big data analytics. He has also done work on understanding consumer behavior in digital environments. He has published over 130 papers in academic journals and has been honored with several best paper awards. He has also served on the editorial boards of several journals, including Management Science, Information Systems Research, and MIS Quarterly. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).

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.

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.