Terrence Sejnowski, PhD

KEYNOTE SPEAKER

Francis Crick Professor, Computational Neurobiology Laboratory, Salk Institute for Biological Studies.

Terrence Sejnowski is a pioneer in neural computation and his goal is to understand the principles that link brain to behavior. He is a member of the Institute of Medicine, National Academy of Sciences and the National Academy of Engineering, one of only 10 living persons to be a member of all 3 national academies.

Jaime E. Combariza, PhD

Associate Research Professor, Department of Chemistry, Krieger School of Arts and Sciences, Johns Hopkins University; Director, Maryland Advanced Research Computing Center (MARCC).

Jaime Combariza is the director of the Maryland Advanced Research Computing Center, a shared computing facility between the University of Maryland and Johns Hopkins University, MARCC is funded by a State of Maryland grant to Johns Hopkins University through IDIES.

Dr. Drew Pardoll

KEYNOTE SPEAKER

Ableoff Professor of Oncology, Director, Cancer Immunology, Director, Bloomberg~Kimmel Institute for Cancer Immunotherapy, School of Medicine, Johns Hopkins University .

Dr. Pardoll attended Johns Hopkins University, where he earned his M.D., Ph.D., in 1982 and completed his Medical Residency and Oncology Fellowship in 1985. He then worked for three years at the National Institutes of Health as a Medical Staff Fellow. Dr. Pardoll joined the departments of oncology and medicine in 1988. Dr. Pardoll has published over 300 papers as well as over 20 book chapters on the subject of T cell immunology and cancer vaccines.

Sarah J Wheelan, MD, PhD

Associate Professor, Institute for Genetic Medicine, School of Medicine, Johns Hopkins University, Associate Professor, School of Medicine, Johns Hopkins University.

Sarah Wheelan is an Associate Professor in the School of Medicine at Johns Hopkins University. Her research interests include genomics, high throughput sequencing, next generation sequencing, sequence analysis, and transposon.

Jeanne Clark, MD, MPH1 and Yanif Ahman, PhD2

[1] Director, Division of General Internal Medicine, School of Medicine, Johns Hopkins University; [2] Assistant Professor, Department of Computer Science, Johns Hopkins University.

Jeanne Clark is the Director of the Division of General Internal Medicine as well as a Professor of Medicine at Johns Hopkins University. Dr. Clark is a practicing general internist and is an expert in obesity, diabetes, and nonalcoholic fatty liver disease.
 
Yanif Ahmad runs the The Data Management Systems Lab at Johns Hopkins University, whose mission is to explore the challenges faced by modern computing applications that contend with vast quantities of information, from the basic sciences, to medical, enterprise and web domains.

Ben Langmead, PhD

Department of Computer Science, Whiting School of Engineering, Johns Hopkins University.

Benjamin Langmead is an Assistant Professor in the Computer Science Department at Johns Hopkins university, His research interests include genomics, sequence alignment, text indexing, high performance computing, and big data.

S. Alexander Szalay, PhD

Director of IDIES, Professor of Astrophysics & Computer Science, Johns Hopkins University.

Professor Szalay is the founding Director of IDIES, a Bloomberg Distinguished Professor, Alumni Centennial Professor of Astronomy, and Computer Science Department Professor. He is a cosmologist, working on the use of big data in advancing scientists’ understanding of astronomy, physical science, and life sciences.

Daniel P. Robinson, PhD

Assistant Professor, Applied Mathematics and Statistics, Whiting School of Engineering, Johns Hopkins University.

Professor Robinson's research focuses on developing algorithms for large-scale continuous optimization for convex and nonconvex problems with applications in optimal control, machine learning, and computer vision.

Vladimir Braverman

Assistant Professor, Department of Computer Science, Whiting School of Engineering, Johns Hopkins University.

Vladimir is an Assistant Professor in the Department of Computer Science in the Whiting School of Engineering at the Johns Hopkins University. His goal is to achieve provably efficient methods of analyzing massive sets of data.

Mike Rippin, PhD

Institute for Data Intensive Engineering and Science, Johns Hopkins University.

Mike Rippin is a member of the Physics and Astronomy group at Johns Hopkins University and has been the project manager for the SciServer project for the past 3 years. Prior to this he was Executive Director for Data Conservancy in the Sheridan Libraries. He has 20 years of experience working in IT and software services for commercial scientific research and development organizations, and for 5 years was VP of Operations for a DMV area branch for his previous employer, Tessella Inc. He has a PhD in Physics from Imperial College, London.

Jim Kyung-Soo Liew

Assistant Professor in Finance, Carey Business School, Johns Hopkins University.

Professor Liew, PhD joined the Johns Hopkins Carey Business School in 2012. He is an Assistant Professor with expertise in the areas of finance, quantitative finance, and hedge funds.

Thomas Haine, PhD

Morton K. Blaustein Chair and Professor of the Earth & Planetary Sciences Department, Krieger School of Arts and Sciences, Johns Hopkins University.

Professor Haine's research in Physical Oceanography focuses on North Atlantic and Arctic circulation, the Southern Ocean, the ocean’s role in climate, and the use of passive tracers to constrain ocean circulation models. His research interests also include data assimilation and rotating-stratified fluid dynamics. He has wide experience in oceanographic field work, circulation modeling, and theoretical oceanography.

Ilya Shpitser, PhD

John C. Malone Assistant Professor, Department of Computer Science, Whiting School of Engineering, Johns Hopkins University.

Ilya Shpitser is a John C. Malone Assistant Professor of Computer Science, and a core member of the Malone Center of Engineering in Healthcare. Dr. Shpitser works on all aspects of causal inference and missing data, with a particular emphasis on healthcare applications. Dr. Shpitser’s past work encompasses identification and estimation theory, structure learning, and latent variable models. His current projects include a collaboration with Suchi Saria's lab on learning policies for managing care in intensive care units, with Todd McNutt and the Oncospace Consortium on side effects of radiation therapy, and with Eric Tchetgen Tchetgen and Phyllis Kanki on analysing patient adherence in HIV treatment.