Scientists

Dr. Matthieu Louis Field of Expertise: Systems Neuroscience | Neuroethology Dr. Matthieu Louis is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of California, Santa Barbara (UCSB). He leads the Sensory Systems and Behavior Lab, focusing on understanding how neural circuits in the fruit fly larva process sensory information to guide behavior. Current Research or Discovery Dr. Louis’s research aims to decipher how odor tracking (chemotaxis) is orchestrated through neural-circuit computations. His lab utilizes the Drosophila melanogaster larva, which possesses fewer than 10,000 neurons, as a model system. By integrating computational and experimental methods, including high-resolution behavioral analysis, electrophysiology, and optogenetics, they model the algorithms that direct navigation in odor gradients and unravel their neural implementations. The lab…

Dr. Deb Roy​ Field of Expertise: Media Arts and Sciences​ | Human-Machine Communication | Applied Machine Learning | Cognitive Science​ Dr. Deb Roy is a Canadian-born scientist and tenured professor at the Massachusetts Institute of Technology (MIT), where he directs the MIT Center for Constructive Communication. His interdisciplinary work bridges cognitive science, artificial intelligence, and media analytics. Dr. Roy gained prominence through the Human Speechome Project, a groundbreaking study that analyzed his son’s language development, leading to innovative insights into language acquisition and media analytics. His TED Talk, “The Birth of a Word,” has garnered over 2.8 million views, showcasing his pioneering research in this area. Affiliation Current Researches Contributions to Research Dr. Roy has made significant contributions in several areas:​ Contact LinkedIn: Deb Roy​Email:…

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…

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. Christopher Fairless Field of Expertise: Atmospheric Science​ | Climate and Weather Modeling ​| Demographic and Population Modeling | Catastrophe Modeling​ | Statistical and Data Science Dr. Christopher Fairless is a data scientist with a robust background in atmospheric science, climate modeling, and demographic analysis. He has experience in both public and private sectors, focusing on developing robust, reusable models and tools. His work often involves collaborating with stakeholders to design models that inform policy and decision-making, particularly in areas related to population dynamics and natural disaster forecasting.​ Current Research or Discovery Contributions to Research Dr. Fairless has contributed to the field through:​ Affiliation Contact Email: chrisfairless@hotmail.com​Phone: +44 7963 857206​Website: www.chrisfairless.co.uk​

Dr. Samuel Lüthi Field of Expertise: Climate Science​ | Environmental Systems ​| Climate Risk and Adaptation Dr. Samuel Lüthi is a postdoctoral researcher at ETH Zurich, affiliated with the Department of Environmental Systems Science. His academic journey includes a Ph.D. in the Weather & Climate Risks group, where he focused on climate risk and adaptation. Dr. Lüthi’s research delves into the impacts of climate change, particularly concerning extreme heat events and their associated mortality risks. His work aims to develop models and frameworks that assess and mitigate the adverse effects of climate-induced hazards on human health and the environment.​ Current Research or Discovery Contributions to Research Dr. Lüthi has made significant contributions to the field of climate science, particularly in understanding and modeling the impacts…

Dr. Xiaoye Wang Field of Expertise: Artificial Intelligence (AI) in Medicine Dr. Xiaoye Wang is a researcher specializing in the application of artificial intelligence within the medical field. He has contributed to studies addressing safety challenges associated with AI deployment in healthcare. Her work emphasizes the importance of aligning AI systems with human-defined objectives to ensure patient safety and trust.​ Current Research or Discovery Dr. Wang is the lead author of the paper titled “Safety challenges of AI in medicine in the era of large language models,” published in September 2024. This research examines potential risks in AI applications in medicine, including issues like reduced performance across diverse populations, inconsistent operational stability, and data privacy concerns. The study also highlights specific safety issues related to…

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

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…

Dr. Miao Zhang Field of Expertise: Observational Seismology Miao Zhang is an Associate Professor in the Department of Earth and Environmental Sciences at Dalhousie University. His research encompasses a wide range of seismic events, including tectonic and volcanic earthquakes, induced earthquakes, and man-made explosions. Zhang’s work focuses on developing advanced seismic monitoring methods, with a particular interest in machine learning applications for earthquake detection and characterization. He is also dedicated to creating open-source software packages for earthquake monitoring and seismic analysis. Current Research or Discovery Zhang has been instrumental in integrating deep learning techniques into earthquake early warning (EEW) systems. He co-authored a study titled “Universal Neural Networks for Real-Time Earthquake Early Warning,” which introduces a data recombination method to create generalized earthquakes for neural…

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

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. David Tadres Field of Expertise: Neurobiology, Electrosensation Dr. Tadres specializes in neuroscience, with a focus on sensorimotor behaviors and neural circuit function. His research often employs optogenetics and virtual reality systems to study neural activity and behavior in model organisms. Dr. Tadres earned his Bachelor of Science in Biology in 2012 and his Master of Science in Neuroscience in 2014 from the University of Zurich, Switzerland. He then pursued doctoral studies in the Louis Lab at the University of California, Santa Barbara, starting in 2015. Currently, he is a Postdoctoral Scholar in the Department of Neurobiology at Stanford University. Current Research or Discovery PiVR System: Co-developed the Raspberry Pi Virtual Reality (PiVR) system, an affordable and versatile closed-loop platform designed to study unrestrained sensorimotor…

Dr. Amori Mikami Field of Expertise: Developmental Psychology, Media Studies Dr. Amori Mikami is a psychology professor at UBC, focusing on child development and digital media on mental health. Current Research or Discovery The Alarming Truth About Social Media and Your Teen’s Mental Health: What Parents Need to Do Right Now – New Research Finds Affiliation Awards Contact Email: mikami@psych.ubc.caPhone: 604 822 3245

Dr. Sina Remmers Field of Expertise: Zoology, Animal Physiology Dr. Sina Remmers is a zoologist at the University of Hamburg who studies how animals adapt physiologically to extreme environments. Current Research or Discovery How Bats Beat the Heat Without Getting Cold What a Bat Can Teach You About Saving Energy This Summer Affiliation Contact Email: sina.remmers@uni-hamburg.de