Work with thought leaders and academic experts in Statistics

Yseult Héjja-Brichard received her PhD in Neuroscience, Cognition, and Behaviour from Université Paul-Sabatier Toulouse, France in 2020. She subsequently completed her first postdoctoral training at the Centre for functional and evolutionary ecology (CNRS) in Montpellier, France. She is now working as a postdoctoral research associate at the University of Maryland, Baltimore County. Yseult Héjja-Brichard’s research interests lie at the intersection of cognitive neuroscience and behavioural ecology. Her work has primarily focused on understanding how the brain efficiently processes information to enable decisions and behaviours. She informs those processes using an evolutionary and ecological perspective.

Robert Gmeiner is an accomplished economist with a strong background in both academic research and teaching. He holds a Ph.D. and M.S. in Economics from Florida State University and a B.A. in Economics and Russian, summa cum laude and Phi Beta Kappa, from Wake Forest University. Currently, Dr. Gmeiner is on the faculty at Methodist University, where he teaches courses in economics and statistics. His areas of expertise include time series statistics, econometrics, macroeconomic policy, inflation, economic policy (fiscal and monetary), international trade, antitrust/competition, and economic forecasting. He has published several articles in top academic journals and has presented his research at numerous conferences and workshops. Prior to working at Methodist University, he worked for the Sunwater Institute, where he researched the economics of intellectual property rights. Gmeiner is known for his dedication to his students, rigorous and timely work, always meeting deadlines. He takes pride in distilling top-level research into actionable insights, easily understood by a non-technical audience, and his ability to make complex economic concepts accessible and engaging. Outside of his work in economics, Gmeiner enjoys gardening, long-distance running, and spending time with his family. He is also an active member of several professional organizations, including Phi Beta Kappa, Omicron Delta Kappa, and the Philadelphia Society.

Dr. Ryan Howell is an Associate Professor at San Francisco State University. His research interests include the psychology of goals and how people pursue and achieve them. Dr. Howell received his PhD in Social/Personality Psychology from the University of California, Riverside in 2005.

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.

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. Giuliana Noratto is a senior associate research scientist at Texas A&M AgriLife. She received her Ph.D. in food science and technology from Texas A&M University System, and her M.Sc. in food science and technology from Universidad Nacional Agraria La Molina. She also holds a B.S. in food science and technology from Universidad Nacional Agraria La Molina. Dr. Noratto’s research interests include food safety and quality, sensory science, and food processing.

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.

Mengying Li is an Assistant Professor at The Hong Kong Polytechnic University. She received her Ph.D. in Mechanical Engineering from University of California, San Diego in 2018. Her research interests include predictive modeling, design optimization, and machine learning. She is also an expert in passive cooling devices.

Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.

I bring **years of experience in experimental design, wet lab, data analysis, and problem-solving** across both **academic** and **industry settings**. My expertise extends to **project planning and budget management**, ensuring efficient execution of research and development initiatives. I am passionate about **leveraging cutting-edge technologies** to address complex challenges in **microbiology, food safety, and health sciences**. Please feel free to connect to discuss how my skills in **molecular biology, biotechnology, and food safety** can contribute to driving innovation and success in your organization!

Crowdsourcing,machine learning, databases,Online Labor Markets,Social Media Analytics,Data Mining,Information Retrieval

Applied research scientist with over 10 years of experience in developing real-world machine learning applications. Possess a strong working knowledge of state-of-the-art LLM, traditional NLP, and classical machine learning models. Proficient in Python programming and familiar with major ML/AI frameworks including scikit-learn, PyTorch, and H2O. Holds an MS in Statistics and a PhD in Engineering.

Jiang Wang is the Mizuho Financial Group Professor of Finance at MIT. He received his Ph.D. in Finance from the University of Pennsylvania in 1990 and his BS in Physics from Nanjing University in 1981. Prior to joining MIT, he was a Research Associate at the National Bureau of Economic Research. His research interests include asset pricing, market microstructure, and corporate finance.