Guangyu Zhou

Guangyu Zhou is a Ph.D. candidate in Computer Science at the University of California, Los Angeles, advised by Prof. Wei Wang. My research interests include: data mining and machine learning in bioinformatics and medical field. Prior to UCLA, I received my B.Eng of Computer Science from University of Illinois at Urbana-Champaign, under the supervision of Prof. Jiawei Han.

Wenhao Zhang

Wenhao is currently a third-year Ph.D. student in Computer Science at University of California, Los Angeles (UCLA). He also works as a graduate student researcher (GSR) at Center for Smart Health at UCLA. His research interests are medical data analytics and causal inference. He also work on cloud computing and IoTs. His PhD advisor is Dr. Ramin Ramezani. In the past two years at UCLA, Wenhao primarily worked on various medical data analytic projects. He built predictive models which can foresee the discharge positions of patients in rehab centers. Meanwhile, He also worked on some well-known data mining issues such as imbalanced learning and missing data issues.

Ramin Ramezani

Dr. Ramin Ramezani is currently an Adjunct Associate Professor of Computer Science and a Research Scientist at the Center for Smart Health, UCLA. He is also Managing Technical Director at Clinical and Translational Science Institute (CTSI) within David Geffen School of Medicine. He was formerly the Chief Technologist in the Big Data and Analytical Unit within the Department of Surgery and Cancer at Imperial College London where he still holds an honorary association with. Prior to that, he was a member of Computational Creativity Group, Department of Computing, at Imperial College where he finished his PhD: “An Artificial Intelligence Framework for Investigative Reasoning”. The research entailed Automatic Reformulation of AI Problems and Combined Reasoning. His research is focused on employing various engineering techniques to tackle problems that arise in medical domain, primarily, with personal health and early disease detection tendencies.

Panayiotis Petousis

Panayiotis Petousis obtained his bachelor’s in biomedical engineering and master’s in biomedical engineering from Imperial College London, United Kingdom, in 2013. He received his PhD in Bioengineering from UCLA in 2019 with an emphasis in Medical Imaging Informatics. His research interests include machine learning, probabilistic graphical models, reinforcement learning, and sequential decision making. Dr. Petousis is a Senior Health Informatics Data Scientist for the Clinical and Translational Science Institute (CTSI) at UCLA.

Noor Nakhaei

Noor is currently a Ph.D. student in Computer Science at UCLA. She graduated from Amirkabir University of Technology (Tehran Polytechnic) in 2018. Her research interests span across computer vision, deep learning and artificial intelligence. Currently her main focus is on using machine learning and deep learning techniques to predict and detect breast cancer.

Arash Naeim

Dr. Arash Naeim is a Professor in Bioengineering in the Henry Saumeli School of Engineering & Applied Sciences; and a Professor of Medicine in the Divisions of Hematology-Oncology and Geriatric Medicine at the David Geffen UCLA School of Medicine. He is Chief Medical Officer for Clinical Research for the UCLA. Health. He is board certified in clinical informatics and serves as the Physician Informaticist for UCLA Health in the areas of research and oncology. He is an Associate Director of the CTSI, GIRS, and IPH. He is also a Senior Leader and Director of Informatics for the Jonsson Comprehensive Cancer Center. His research interests included outcomes research, cost-effectiveness analysis, modeling of health and frailty, and clinical trial design. His focus of research for the majority of his publications and research grants has been in breast cancer and cancer in the elderly. He is the UCLA Principal Investigator for the Athena Breast Health Network and NIH grant that aims to use sensor technology and analytics to reduce risk, integrate innovative technology, and advance precision medicine.

Ali Mosleh

Dr. Ali Mosleh is Distinguished Professor and holder of the Evalyn Knight Chair in Engineering at the University of California in Los Angeles. Prior to that he was the Nicole J. Kim Eminent Professor of Engineering and Director of the Center for Risk and Reliability at the University of Maryland. Dr. Mosleh is also a Fellow of the Society for Risk Analysis, and the American Nuclear Society, recipient of several scientific achievement awards, and consultant and technical advisor to numerous national and international organizations. In 2004 he was appointed by President George W. Bush to the U.S. Nuclear Waste Technical Review Board. He continued to serve on the board under President Obama until 2012.

Zeyu Li

Zeyu Li is a fifth-year Ph.D. candidate in the Computer Science Department at UCLA under the supervision of Prof. Wei Wang. His research interests include data mining and recommender systems

Dan Geschwind

Dr. Geschwind is the Gordon and Virginia MacDonald Distinguished Professor of Human Genetics, Neurology and Psychiatry at UCLA. In his capacity as Senior Associate Dean and Associate Vice Chancellor of Precision Health, he leads the Institute for Precision Health at UCLA. His laboratory has pioneered the application of systems biology methods in neurologic and psychiatric disease. Dr. Geschwind has put considerable effort into fostering large-scale collaborative patient resources for genetic research and data sharing in autism research. He has served on numerous scientific advisory boards, including the Faculty of 1000 Medicine, the Executive Committee of the American Neurological Association, the Scientific Advisory Board for the Allen Institute for Brain Science, the NIMH Advisory Council and the NIH Council of Councils. He has published over 400 papers and serves on the editorial boards of Cell, Neuron and Science. He has received several awards for his laboratory’s work and leadership including the Ruane Prize from the Brain and Behavior Foundation in 2013 and the Derek Denny-Brown Neurological Scholar Award from the American Neurological Association (ANA) in 2004. He is an elected member of the American Association of Physicians and the National Academy of Medicine.

Steven Dubinett

Dr. Steven Dubinett is Associate Vice Chancellor for Research and Director of the JCCC Lung Cancer Research Program. He has extensive experience in translational investigation, academic administration, mentorship and peer review. He is Chief, Division of Pulmonary and Critical Care Medicine and jointly appointed as Professor in the Departments of Medicine, Pathology and Laboratory Medicine, and Molecular and Medical Pharmacology. He has served on national advisory panels and committees including the NCI’s Translational Research Working Group. He has experience directing large, multidisciplinary research teams funded by the NCI SPORE program, the Early Detection Research Network and the Department of Defense. He has served as a permanent member of three different NIH study sections and numerous Special Emphasis Panels. He has been consistently funded by peer-reviewed federal resources for translational research in lung cancer for more than 20 years. He served as a member of the FDA Cellular, Tissue and Gene Therapies Advisory Committee and on several editorial boards including Clinical and Translational Science. He is an Associate Editor in Chief of the American Journal of Translational Research.