Ruiqi (Tina) Huang

BIOGRAPHY

Ruiqi Huang is a master student in the UCLA Medical Informatics students. Before joining this program, she received BS in Bioengineering, and BA in Computer Science and Linguistics from UCLA in 2019. Her research interest aims to bring natural language processing(NLP) and natural language understanding(NLU) into biomedical fields to improve on clinical text summarization, information extraction, and data annotation. Under the supervision of Dr. Ricky Taira, she’s currently developing a NLU system that understands radiology reports and clinical texts to facilitate and expedite translational research.

David Gordon

BIOGRAPHY

David is a PhD student in the Medical Imaging & Informatics group. His current research involves probabilistic graphical models using electronic health record (EHR) and observational databases to support sequential decision making. He completed his MS in Department of Biomathematics at UCLA with research focus in statistical machine learning using medical imaging and EHR data. Prior, he completed a Fellowship in Clinical and Translational Science at UCLA School of Medicine with research focus in predictive modeling using clinical data.

David Gibson

BIOGRAPHY

David is a PhD student interested in medical and biological informatics as applied to human genetics and genomics. He completed a B.S. in Psychology & Biology at UC Davis and a M.A.S. in Clinical Research & Data Science at UC San Francisco. Prior to starting his Ph.D, David has worked as a biostatistician and as a research associate studying neuro-endocrinology, neuro-oncology, immunology, and ophthalmology.

Joy (Mingzhou) Fu

BIOGRAPHY

Joy (Mingzhou) Fu is a first-year medical informatics Ph.D. student. Her research interest lies in precision health, specifically integrating bioscience and clinical data to drive improvement of healthcare quality and equity. She received her MBBS degree in clinical medicine from Shanghai Jiao Tong University. Before starting at UCLA, she completed a combined MPH and MHI program at the University of Michigan.

Joe Friedman

BIOGRAPHY

Joseph Friedman is a current MS3 at the David Geffen School of Medicine. He has completed a PhD in the Social Medicine track of the Medical Informatics PhD at UCLA, a master’s degree in public health from the University of Washington, focused on Global Health Metrics, and an intensive three-year data science fellowship at the Institute for Health Metrics and Evaluation. His current research focuses on mixed methods approaches, blending ethnography and data science, to measure rapidly evolving health inequalities and trace their upstream structural drivers. He has applied these techniques especially to the study of the North American overdose crisis, and to documenting rapidly emerging trends and inequalities in socially-bound causes of mortality in the United States. His first-author peer-reviewed articles have been published in journals including JAMA, Nature, The Lancet, JAMA Psychiatry, and the American Journal of Psychiatry, and his popular press writings have appeared in venues such as The Los Angeles Times, Time Magazine, and The Nation. He is fluent in written and spoken Spanish—including for academic and medical contexts—and has spent a collective total of five years living and working in Mexico and elsewhere in Latin America.

Jeffrey Feng

BIOGRAPHY

Jeffrey studied Biomedical Engineering at the University of Waterloo before joining UCLA as a PhD student in the Medical Imaging & Informatics group. He is interested in improving medical image acquisition and analysis to enhance patient care through the better understanding of disease and treatment response. He is also interested in the practical application of novel computational methods and managing the impact on health systems.

Amy L. Cummings, MD

BIOGRAPHY

Amy L. Cummings is a PhD candidate in the UCLA Bioengineering Medical & Imaging Informatics Program and recently joined UCLA Hematology/Oncology faculty. Her research interests include artificial intelligence clinical decision support, translational oncology, and biomarker development in lung cancer. She received her bachelor of arts from UCLA and medical degree from the Keck School of Medicine at the University of Southern California where she graduated with honors and was elected to the Alpha Omega Alpha Honor Society. She completed both her internal medicine residency and hematology and oncology fellowship at UCLA and served as Chief Fellow for UCLA Hematology/Oncology as well as the David Geffen School of Medicine Specialty Training and Advanced Research (STAR) Program.

Kaiyang (Victor) Cheng

BIOGRAPHY

I did medical imaging and analysis with machine learning at UCSF during the majority of my undergraduate research. Fascinated by the mystery of aging, regenerative medicine, and fundamental biology, I started computational genomics research for aging science towards the end of my undergraduate at UC Berkeley. I am broadly interested in Aging, Computational Biology, Medical Imaging, Adversarial Robustness, Fairness, Interpretability and Causality in Machine Learning, hoping to use computational techniques to aid and discover biology and medicine.

Samir Akre

BIOGRAPHY

Samir is a first-year Ph.D. student in the medical informatics program at UCLA interested in translational medicine and entrepreneurship. He received a bachelor’s degree in biomedical engineering from UC Davis in 2018.