Angelo Mele, PhD

Associate Professor, Dept. of Economics, Carey Business School, Johns Hopkins University.

Angelo Mele is an applied economist interested in social and economic networks, and their effect on economic performance. In my research, I combine theoretical modeling, structural and reduced-form econometrics with state-of-the-art computational methods.

Ben Langmead, PhD

Asst. Professor, Dept. of Computer Science, Whiting School of Engineering, Johns Hopkins University.

Ben's group applies ideas from sequence alignment, text indexing, statistics and parallel programming. He has released high-impact software tools (e.g. Bowtie, Bowtie 2) addressing common genomics research questions. He has also created scalable software tools that use commercial cloud computing to analyze large collections of archived sequencing data.

Pete Beckman, PhD

KEYNOTE SPEAKER

Co-Director, Northwestern University/Argonne Institute of Science and Engineering, Computing, Environment & Life Science at Argonne National Laboratory and Northwestern University/Argonne Institute for Science & Engineering.

Pete Beckman is the co-director of the Northwestern University/Argonne Institute for Science and Engineering and is a recognized global expert in high-end computing systems. During the past 25 years, his research has been focused on software and architectures for large-scale parallel and distributed computing systems. For the DOE’s Exascale Computing Project, Beckman leads the Argonne team focused on extreme-scale operating systems and run-time software. He is the founder and leader of the Waggle project for smart sensors and edge computing that is used by the Array of Things project. Beckman also coordinates the collaborative technical research activities in extreme-scale computing between the US Department of Energy and Japan’s ministry of education, science, and technology and helps lead the BDEC (Big Data and Extreme Computing) series of international workshops. Beckman leads the extreme computing research activities at Argonne National Laboratory. He received his PhD in computer science from Indiana University.

S. Alexander Szalay, PhD

Director of IDIES, Bloomberg Distinguished Professor, Depts. of Physics & Astronomy and Computer Science, Johns Hopkins University.

Professor Szalay is the founding director of IDIES, a Bloomberg Distinguished Professor, Alumni Centennial Professor of Astronomy, and a professor of Computer Science. As a cosmologist, he works on the use of big data in advancing scientists’ understanding of astronomy, physical sciences, and life sciences.

Tony Tyson, PhD, DSci

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Distinguished Professor, Physics Department, University of California, Davis.

Tony Tyson is Distinguished Professor of Physics at University of California, Davis. Before that, he worked 35 years at Bell Labs in the physics division. While applying CCDs to astronomy in the early 1980’s he discovered a population of faint blue galaxies, and then pioneered the field of weak gravitational lensing using these distant galaxies as sources. His current research is in cosmology: dark matter distribution, gravitational lens effects, cosmic shear, and the nature of dark energy. He is currently Chief Scientist on the Large Synoptic Survey Telescope project.

Tyson received his B.S. in Physics from Stanford in l962 and Ph.D. in condensed matter physics from University of Wisconsin in 1967. He is a Fellow of the American Physical Society and the American Academy of Arts and Sciences, and a member of the National Academy of Sciences and the American Philosophical Society.

Dan M. Popescu

Graduate Student, Dept. of Applied Mathematics & Statistics, Whiting School of Engineering, Johns Hopkins University.

Dan is a Ph.D. student at Johns Hopkins University in the Department of Applied Mathematics and Statistics. He completed his BS in 2012 at University of Richmond, with a double major in Mathematics and Economics. Dan's research interests can be described broadly as using deep learning techniques on extracting information from clinical cardiac images.

Ali Afshar, PhD

Postdoctoral Fellow, Dept. of Anesthesiology & Critical Care Medicine, School of Medicine, Johns Hopkins University.

Dr. Afshar obtained his PhD in Electrical and Computer Engineering, Computational Medicine, from Whiting School of Engineering at JHU. He has led translational research projects and built interdisciplinary teams of clinicians, engineers and designers at Johns Hopkins Medicine in collaboration with industry partners including Apple, Nokia Health and Google. Dr. Afshar was named one of the 100 Leaders of Tomorrow in Global Biotech Revolution’s GapSummit 2017, originally founded at the University of Cambridge, UK. His current research interests include clinical and genomic big data analysis, and machine learning-based diagnostics for cardiovascular Precision Medicine.
Elham Hatef

Elham Hatef, PhD

Asst. Scientist, Dept. of Health Policy & Management, Bloomberg School of Public Health, Johns Hopkins University.

Elham Hatef, MD, MPH is a preventive medicine physician and clinical informatician. She is a faculty at the Center for Population Health IT at JHBSPH and the academic director of the General Preventive Medicine Residency Program. Dr. Hatef focuses on population health and health information technology. Her main field of work is the impact of social determinants of health on health-related outcomes using health IT and Big Data.

Jim Kyung-Soo Liew, PhD

Asst. Professor, Dept. of Finance, Carey Business School, Johns Hopkins University.

Dr. Jim Kyung-Soo Liew is an Assistant Professor of Finance at Johns Hopkins Carey Business School and revels in pushing the boundaries of financial knowledge and product development both as an academic and FinTech Entrepreneur. He has published pioneering research in the intersection of social media big data, crypto-currencies, and financial markets.

S. Alexander Szalay, PhD

Director of IDIES, Bloomberg Distinguished Professor, Depts. of Physics & Astronomy and Computer Science, Johns Hopkins University.

Professor Szalay is the founding director of IDIES, a Bloomberg Distinguished Professor, Alumni Centennial Professor of Astronomy, and a professor of Computer Science. As a cosmologist, he works on the use of big data in advancing scientists’ understanding of astronomy, physical sciences, and life sciences.

David Elbert

Assoc. Research Scientist, Dept. of Earth & Planetary Sciences, Krieger School of Arts & Sciences, Johns Hopkins University.

David Elbert’s group focuses on bridging the materials and data domains. His broad background in methodology development for electron microscopy, synchrotron X-ray, and neutron scattering applications informs work integrating the diverse data streams common in materials-by-design research. David currently leads development of the MEDE Data Science Cloud and PARADIM Data Collective using SciServer’s data-centric architecture and compute services.
Gerard Lemson

Gerard Lemson, PhD

Research Scientist, SciServer Associate Director for Science Coordination, Institute for Data Intensive Engineering and Science, JHU.

Gerard Lemson has a PhD in theoretical cosmology and is currently a research scientist at Johns Hopkins University. He is associate director for science coordination in the NSF funded SciServer project (www.sciserver.org) and now and then assists in code development of that platform.

Jim Warren, PhD

KEYNOTE SPEAKER

Director, Materials Genome Program, Material Measurement Laboratory, NIST.

Dr. James A. Warren is the Director of the Materials Genome Program in the Material Measurement Laboratory of the National Institute of Standards and Technology (NIST). After receiving his Ph.D. in Theoretical Physics at the University of California, Santa Barbara, which was preceded by an A.B. (also in Physics) from Dartmouth College, in 1992 he took a position as a National Research Council post-doc in the Metallurgy Division at NIST. In 1995, with three other junior NIST staff members, he co-founded the NIST Center for Theoretical and Computational Materials Science, which he has directed since 2001. From 2005-2013 he was the Leader of the Thermodynamics and Kinetics Group. His research has been broadly concerned with developing both models of materials phenomena, and the tools to enable the solution of these models. Specific foci over the years has included solidification, pattern formation, grain structures, creep, diffusion, wetting, and spreading in metals. In 2010-11, Dr. Warren was part of the ad hoc committee within the Office of Science and Technology Policy’s National Science and Technology Council (NSTC) that crafted the founding whitepaper on the Administration’s Materials Genome Initiative (MGI). Since 2012, Dr. Warren has served as the Executive Secretary of the NSTC MGI Subcommittee, coordinating inter-agency efforts to achieve the goals laid out in the MGI.

Alainna White

Assistant Director, Technology, Institute for Data Intensive Engineering Science, JHU.

Alainna White is the Director of Technology for IDIES. She has over a decade of experience in scientific computing and has architected computational and storage systems of various scale for educational, government and commercial institutions. Alainna manages the technical resources and vision of the Institute and is currently spearheading the Open Storage Network effort with our NSF and NDSC partners.

Jaime Combariza, PhD

Director, Maryland Advanced Research Computing Center.

Jaime Combariza is the director of the Maryland Advanced Research Computing Center (MARCC), a shared high performance computing facility for John Hopkins University and the University of Maryland

Johnathon Ehsani, PhD

Asst. Professor, Dept. of Health Policy & Management, Bloomberg School of Public Health, Johns Hopkins University.

Dr. Ehsani's research examines the role of policy and technology on driver behavior and safety. He has ongoing studies examining the effectiveness of autonomous vehicle testing policies and is collaborating on a number of instrumented vehicle studies. He is the current Leon S. Robertson Faculty Development Chair in Injury Prevention.