CHARLES CANTOR, Ph.D
Dr. Cantor serves as the Chief Scientific Officer (CSO) at Sequenom Inc. Dr. Cantor was previously the chair & professor of the Department of Biomedical Engineering and Biophysics and Director of the Centre for Advanced Biotechnology at Boston university. Prior to this, Dr. Cantor held positions at Columbia university. He was also Director of the Human Genome Centre project of the Dept of Energy at Lawrence Berkeley laboratory. Dr. Cantor is a consultant to more than 16 biotech firms and has published more than 325 peer reviewed articles, has been granted 26 US patents, and co-authored a three-volume textbook on Biophysical Chemistry. He recently completed the first textbook on Genomics: "The Science and Technology of the Human Genome Project".
CHARLES DE LISI, Ph.D
Metcalf Professor of Science and Engineering,
Dr. DeLisi is the Metcalf Professor of Science and Engineering and Dean Emeritus, College of Engineering at Boston University. He also heads the Biomolecular Systems Laboratory at the Center for Advanced Genomic Technology. He is a founder of the Human Genome Project and an expert on microarray technologies and high throughput genomics and proteomics technologies.
ERIC EASTMAN, Ph.D
Chief Scientific Officer, Diogenix
Dr. Eastman has served as Senior Vice President and Chief Technical Officer of Gene Logic (NASDAQ: GLGC) since July 2000. From August 1997 to July 2000, Dr. Eastman served as Vice President, Technology Management. From September 1996 to August 1997, Dr. Eastman served as Vice President, Scientific Operations. From 1993 to 1996, Dr. Eastman was Director, Gene Expression and ProcessResearch and Development at GeneMedicine, Inc., a gene therapy company. Dr. Eastman also served as Vice President, Chief Scientific Officer of Lark Sequencing Technologies from 1989 to 1993, and as Director of Molecular Biology and Immunoassay Development at BIOTX, Inc., from 1986 to 1988. Dr. Eastman earned a Ph.D. in human genetics and development from Columbia University college of Physicians and Surgeons. Dr. Eastman also received a B.A. in biology from Middlebury College and an M.S. in genetics and cell biology from the University of Connecticut, Storrs.
KAL RAMNARAYAN, Ph.D
President & Chief Scientific Officer,
Sapient Discovery LLC
Dr. Ramnarayan is the Co-Founder, Chief Scientific Officer (CSO) and Vice President of privately held Structural Bioinformatics Inc., a world leader in computational proteomics. Under Dr Ramnarayan's guidance, the company has developed advanced technologies to generate highly refined 3-dimensional structural models of proteins from primary genetic information and commercializes these technologies through its structural database products and through discovery collaborations with leading pharmaceutical companies.
D. BALASUBRAMANIAN, Ph.D
Director of Research, L.V. Prasad Eye Institute
Dr. Balasubramanian was Director of the pretigious Centre for Cellular and Molecular Biology (CCMB), Hyderabad, India until 1998. He is presently the Director of Research for the world-renowned eye care centre, L V Prasad Eye Institute, Hyderabad. He is a Fellow of TWAS, the American Association for the Advancement of Science, USA and all the Science Academies in India. Dr. Balasubramanian obtained his Ph.D from Columbia University in New York.
Principal Researcher, Microsoft Research, India
Ravi is Researcher at Microsoft Research and First Adjunct Faculty of Computer Science and Automation Department of Indian Institute of Science, India. Before joining Microsoft, Ravi was the William K. Lanman Jr. Professor of Computer Science and Professor of Applied Mathematics at Yale University. He has also taught at CMU and MIT. The ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) presented its 2011 Knuth Prize to Ravi Kannan for "developing influential algorithmic techniques aimed at solving long-standing computational problems." He is the recipient of the 1992 Fulkerson Prize in Discrete Mathematics. His research interests include Algorithms, Theoretical Computer Science and Discrete Mathematics as well as Optimization. His work has mainly focused on efficient algorithms for problems of a mathematical (often geometric) flavor that arise in Computer Science. He has worked on algorithms for integer programming and the geometry of numbers, random walks in n-space, randomized algorithms for linear algebra and learning algorithms for convex sets