Eric Brouzes, PhD
Assistant Professor, Department of Biomedical Engineering, Stony Brook University
Title: Technology Development for Single-Cell and Spatial Genomics
Time: 05/06/2020 3pm -- 4pm
Chao Chen, Assistant Professor of Biomedical Informatics
Title: Deep Topological Learning: Topological Information and Its Usage in Segmentation, Analysis, and Learning
Time: 04/29/2020 3pm to 4pm
Janos Hajagos
Chief of Data Analytics, Research Assistant Professor,
Department of Biomedical Informatics, Stony Brook University
Title: Building a Just-In-Time COVID-19 Data Commons at Stony Brook Medicine
Time: 04/22/2020 3pm - 4pm
Laura Fochtmann
SUNY Distinguished Service Professor, Stony Brook University & Attending Psychiatrist, Stony Brook University Hospital
Title: Clinical Practice Guidelines and HIT: Future Integration Approaches to Improve Care
Nil Gurel;
Ph.D. Candidate, School of Electrical and Computer Engineer- ing, Georgia Institute of Technology
Coping with Trauma: Noninvasive Vagal Nerve Stimulation for Acute Stress and Its Real Time Biomarkers in PTSD
Vikas Pejaver, Ph.D.;
Postdoctoral Scholar, Department of Biomedical Informatics and Medical Education, University of Washington
Machine Learning on Secondary Data for Rare Genetic Diseases
Nathan Hotaling, Ph.D.;
Vice President of Data Science, Axle Informatics &Senior Data Scientist, National Center for Advancing Translational Science
Non-Invasively Predicting Function and Identity of a Tissue Engineered Therapy for Macular Degeneration
Mary Saltz, M.D.;
Clinical Assistant Professor, Department of Biomedical Informatics, Stony Brook University
The Use of Data Driven Tools to Answer Population Health Questions
Rina Tannenbaum, Ph.D.;
Professor, Department of Materials Science and Engineering, Stony Brook University
The Use of Surface Enhanced Raman Spectroscopy in the Detection and Delineation of Breast Cancer Cells
Jun Wang, PhD;
Assistant Professor, Department of Biomedical Engineering, Multiplex Biotechnology Laboratory, Stony Brook University
Single-Cell Functional Proteomics for Analysis of Molecular Signatures of Small Samples
Tengfei Ma, PhD;
Research Staff Member, IBM T.J. Watson Research Center
Deep Learning for Computational Healthcare: EHR Phenotyping and DDI Prediction
Yifan Peng, PhD;
Research Fellow, National Center for Biotechnology Infor- mation (NCBI)/National Library of Medicine (NLM)/National Institutes of Health (NIH)
Clinical Natural Language Processing and Deep Learning in Assisting Medical Image Analysis
Jonas Almeida, PhD;
Chief Data Scientist, Division of Cancer Epidemiology & Genetics, National Cancer Institute
Data, Analyze Thyself!
Anupama Reddy, PhD;
Founder & CEO, Prism Bioanalytics LLC
Precision Medicine through the lens of Machine Learning: Why one Model does not Fit all Data
Richard Moffitt, PhD;
Assistant Professor, Department of Biomedical Informatics, Stony Brook University
Artificial Intelligence in Healthcare: How Does It Work?
Robert Fields, MD, MHA;
Assistant Professor, Department of Family Medicine and Community Health, Icahn School of Medicine at Mount Sinai
From Model T to Tesla: System Transforma on to Value
Multi-Scale Modeling and Machine Learning for Biomedical Studies
Peng Zhang, Stony Brook University
Sept. 18th, 3pm -- 4pm
Health Science Center L2-3B
John D. Haley
Wednesday, September 4, 2019 3 pm—4 pm
Health Science Center L2-3B
