Xi (Nicole) Zhang Field of Expertise: Medicine | Generative Machine Learning | Bioinformatics ​Xi (Nicole) Zhang is an MD-PhD student at McGill University and a researcher at Mila – Quebec Artificial Intelligence Institute. Her academic journey and research contributions are detailed below Current Research or Discovery Safety Challenges of AI in Medicine in the Era of Large Language ModelsIn this 2024 publication, Zhang and colleagues examine emerging risks associated with the use of large language models (LLMs) in medical applications. The paper discusses safety challenges from functional and communication perspectives, addressing issues across data collection, model training, and real-world application. JASPAR 2020: update of the open-access database of transcription factor binding profilesThis paper discusses updates to the JASPAR database, which provides transcription factor binding profiles…

Professor Hongyu He is a full professor in the Department of Mathematics at Louisiana State University (LSU).

Jiun-Yih Huang Field of Expertise: Criminal psychology and behavioral studies Jiun-Yih Huang is a professor in the Department of Applied Psychology at Hsuan Chuang University in Hsinchu, Taiwan. Current Research or Discovery Co-authored the study “Relationship Between Criminal Intention and Criminal Behavior,” published in the Journal of Police and Criminal Psychology in March 2023. This research employed the theory of planned behavior to explore the relationship between criminal intention and behavior, focusing on injury, theft, and drug use among male adults in Taiwan. Affiliation Contact Email: jiun@hcu.edu.twSocial Links: LinkedIn

Dr. Xiong Zhang Field of Expertise: Seismology, Earthquake Early Warning Systems Xiong Zhang is a researcher specializing in seismology with a focus on developing advanced earthquake early warning systems. His work integrates artificial intelligence and machine learning techniques to enhance the speed and accuracy of earthquake detection and warning mechanisms. Current Research or Discovery Zhang co-authored the paper “Generalized Neural Networks for Real-Time Earthquake Early Warning,” which introduces an AI-driven method using generalized neural networks trained on earthquake waveform data from multiple regions. This model aims to provide faster and more accurate earthquake parameter estimates, demonstrating effectiveness across various tectonic settings. Affiliation Contact Email: zxiong@mail.ustc.edu.cn

Dr. Soroush Vosoughi Field of Expertise: Natural Language Processing (NLP) | Machine Learning | Computational Social Science​ Dr. Soroush Vosoughi is an Assistant Professor of Computer Science at Dartmouth College, where he leads the Minds, Machines, and Society group. His research focuses on developing computational models of cognition, with a particular emphasis on language as a primary conduit. Prior to joining Dartmouth, Dr. Vosoughi was a postdoctoral associate at the MIT Media Lab and a fellow at Harvard University’s Berkman Klein Center. He earned his B.Sc., M.Sc., and Ph.D. from the Massachusetts Institute of Technology (MIT). Current Research or Discovery Affiliation Dartmouth College: Previous Positions: Contributions to Research Dr. Vosoughi has made significant contributions in several areas:​ Awards Contact Email: Soroush.Vosoughi@dartmouth.edu ​

Dr. Sinan Aral​ Field of Expertise: Digital Economy | Social Media Analytics | Network Science​ Dr. Sinan Aral is the David Austin Professor of Management at the MIT Sloan School of Management, where he also serves as a Professor of IT, Marketing, and Data Science. He directs the MIT Initiative on the Digital Economy (IDE) and leads the MIT Social Analytics Lab. Beyond academia, Dr. Aral is a founding partner at Manifest Capital and Milemark Capital, venture capital firms focusing on digital innovation. His work bridges the gap between cutting-edge research and practical applications in the digital realm.​ Current Research or Discovery Dr. Aral’s recent research endeavors include:​ His 2018 study, “The Spread of True and False News Online,” published in Science, highlighted how false…