• Assistant Professor of Biology and Computer Science
• Dr. Bonneau received his Systems Biology training under Dr Leroy Hood. He has done innovative and award-winning work in protein folding prediction algorithms and in reverse engineering algorithms for massive dynamic regulatory networks.

More Information

• Assistant Professor, Department of Medicine, NYU School of Medicine
• Dr. Braithwaite received formal training in Medical Decision Making received under Dr. S. Pauker. He is Chief, Section of Value and Comparative Effectiveness. He is also Leading the Informatics of Decision Analysis and Comparative Effectiveness Specialty Track in the BMI graduate program.

More Information

• Senior Organizational Development Specialist, Department of Organizational Development and Learning
• Dr. Broadhurst is an expert in Leadership skills development.

More Information

• Director of Nursing: Informatics and Quality Management
• Dr. Connor serves as liaison between CHIBI and the NYU Nursing Informatics Program.

More Information

• Director of Clinical and Translational Science Institute.
• Chief, Division of Translational Medicine. Dr.Paul R Esserman Professor of Medicine, Professor of Pathology and Pharmacology
• Dr. Cronstein is an internationally recognized expert in adenosine receptors, wound healing, inflammation, and fatty liver. His work has led to over five patents granted or pending on the use of agents that target adenosine receptors for the treatment of poorly healing wounds, fibrosis, fatty liver, prevention of prosthetic joint replacement loosening and the treatment of bone disease. Dr Cronstein has NIH-funded projects for eliciting molecular pathways and for conducting molecular profile-based personalized medicine CTs. He is the co-lead of the Translational Bioinformatics Specialty Track of the Biomedical Informatics Training Program.

More Information

• Assistant Professor, Division of Cardiology, Department of Medicine
• Dr. Griffith's research focuses on mathematical modeling and large-scale computer simulation in physiology. He is particularly interested in simulating cardiac and cardiovascular fluid dynamics, with an emphasis on modeling fluid-structure interaction in heart valves, and electrical impulse propagation, especially at the tissue and organ scale. To make such simulations computationally tractable, Griffith develops adaptive numerical methods for the model equations along with software implementations suitable for use with modern high-performance computing facilities.

More Information

• Founder and President Clopinet LLC
• Adjunct Professor, CHIBI
• Dr. Guyon is an internationally known expert in Machine Learning. She is the co-inventor with Drs Vapnick and Boser of the kernel SVM classifier, and Inventor of the SVM-based feature selection method RFE. The SVM is considered the most powerful method for pattern recognition in existence and is used extensively in Biomedicine, the general sciences, the industry, and defense applications (with more than 15,000 combined citations to date).

More Information

• Instructor, Department of Medicine, Division of General Internal Medicine, Section on Value and Comparative Effectiveness
• Dr. Hejidazeh is a pulmonary and critical care physician who is also a medical informatician and K12 scholar. Her research focuses on using decision-analytic modeling to inform and encourage shared decision making about end of life decisions.

More Information

• Associate Professor & George A. Kellner Faculty Fellow, Stern School of Bussiness, Department of Information, Operations and Management Sciences
• Dr. Ipeirotis received his PhD in Columbia where he pioneered methods to sample the “dark” WWW. He has also pioneered methods for efficient use of crowd sourcing to build pattern recognition models for massive text processing applications. He is also exploring methods to mine user-generated content online and has build several software systems for the above areas. His research has received three "Best Paper" awards and two "Best Paper Runner Up" awards in leading Computer Science Forums. He is also a recipient of a CAREER award from the National Science Foundation.

More Information

• Silver Professor, Department of Computer Science and Department of Neural Science, Courant Institute of Mathematical Science
• Dr. LeCun is an award-winning authority in Computer Science whose research includes Machine Learning, Computer Vision, Mobile Robotics, and Computational Neuroscience, Data Compression, Digital Libraries, the Physics of Computation, and all the applications of machine learning (Vision, Speech, Language, Document understanding, Data Mining, Bioinformatics). Before NYU, Dr. LeCun’s research at AT&T included contributions to Machine Learning, Image Compression, Pattern Recognition, Synthetic Persons (talking heads), and Neural-Net Hardware.

More Information

• Associate Dean for Basic Science
• Associate Professor
• Dr. Linda Miller came to NYU after a long career in Science and Nature Publishing groups where she held Senior Editor positions in both. At NYU she heads the office of Science and Research. A major area she leads is the development, validation and application of objective and computable criteria for academic quality performance evaluation and monitoring. She is the Co-Lead of the Corresponding Specialty Track in the Biomedical Informatics Training Program with Dr. Aliferis.

More Information

• Vice President, Department of Organizational Development and Learning
• Dr. Morgan heads Professional Development at NYULMC. She is co-leading the development and delivery of innovative professional leadership and management skills to BMI students.

More Information

• Chair and Professor, Management and technology programs, Division of Programs in Business, School of Professional and Continuing Studies (SCPS)
• Dr. Moskowitz is co-leading the development and delivery of innovative professional leadership and management skills to BMI students.

More Information

• Professor, Department of Mathematics, Courant Institute of Mathematical Sciences
• Professor Charles Peskin, a member of the National Academy of Sciences, is an authority in computational biomathematical modeling. His research has a strong focus on cardiac and neurophysilogical applications. Dr Peskin is the leader of the Computational Biomathematics Specialty Track of the Biomedical Informatics Training Program.

More Information

• Associate Professor, Director of TREC and Director of Rheumatology at VAMC
• Dr. Pillinger heads the Translational Research Education and Careers (TREC) Core of the CTSI and is leading the educational exchanges among translational/clinical science students and BMI students.

More Information

• Professor & EC Faculty Fellow & Paduano Fellow in Business Ethics (Emeritus), Department of Information, Operations and Management Sciences, Stern School of Bussiness
• Professor Provost is a respected authority in machine Learning, and former Editor in Chief of the Machine Learning Journal. He won the 2009 INFORMS Design Science Award for his work on Social Network-based Marketing Systems. Previously he received IBM Faculty Awards for outstanding research in data mining and machine learning. He was elected as a founding board member of the International Machine Learning Society. Dr. Provost brings to the BMI program his expertise in social networks, behavioral, and text mining and modeling.

More Information

• Director of Ehrman Biomedical Library and Director of Division of Knowledge Informatics
• Mr. Rambo is the Chief Biomedical Librarian at NYU and leads the Library Informatics Fellowship track in the Biomedical informatics Training Program. The Biomedical Library under MrRambo’s leadership is having several collaborative projects with CHIBi and these will form the substrate for educating Librarians in Informatics.

More Information

• Assistant Professor, Department of Applied Mathematics, Courant Institute of Mathematical Sciences
• Dr. Rangan works on large-scale scientific modeling of physical, biological and neurobiological phenomena, and the development of efficient numerical methods and related analysis.

More Information

• Assistant Professor, Department of Biology and Center for Genomics and Systems Biology
• Dr. Rockman investigates the relationship between the molecular mechanisms that shape phenotypes within individuals and the evolutionary mechanisms that generate and maintain phenotypic variation within populations. His research combines molecular and evolutionary biology, with advanced quantitative tools/processes.

More Information

• Professor, Department of Computer Science and Department of Neural Science, Courant Institute of Mathematical Sciences
• Dr. Shasha works on biological computing, pattern recognition and querying in trees and graphs, pattern discovery in time series, cryptographic file systems, and database tuning. He has written several books on bioinformatics, databases, statistics and other topics and has conducted extensive research in functional genomics. He is also the author of the monthly puzzle column of Scientific American.

More Information

• Associate Professor, Department of Biology and Center for Genomics and Systems Biology
• Dr. Siegal seeks to understand phenotypic evolution by studying the processes by which the genetic networks underlying development diverge. His research combines wet lab experiments, computational modeling of genetic and genomic data and mathematical analysis.

More Information

• Translational Science Librarian & Instructor, Ehrman Medical Library, CHIBI & CTSI
• Dr. Sirkus combines a rare background of Molecular Neurobiology and Library Science. She is the chief translational Librarian interfacing CTSI, CHIBI, the Library and the Biomedical science communities.

More Information

• Clinical Assistant Professor , College of Nursing
• Nadia Sultana is faculty liaison between CHIBI and the NYU Nursing Informatics Program.

More Information

• Professor, Departments of Biology, Mathematics and Neural Science and Center for Genomics and Systems Biology
• Dr. Tranchina is co-chair of the Computational Biology program and serves as faculty liaison between the BMI and Computational Biology Programs. His research seeks to understand the neural mechanisms underlying visual perception. To that end he combines theoretical analysis, mathematical modeling and computer simulation with experimental studies. Finally Dr Tranchina is working on methods to bring Neural Network modeling methods to very-high scales.

More Information

• Assistant Professor, Department of Biology and Center for Genomics and Systems Biology
• Dr. Vogel’s award-winning research revolves around proteins, their properties, evolution, and their expression patterns. She uses computational tools, large-scale quantitative proteomics, and molecular biology techniques to study the dynamics of the cellular proteome.

More Information

• Executive Director, Department of Organizational Development and Learning
• Dr. Woodrow has a wealth of experience in coaching Biomedical leaders at the highest level including several of the Executive Leaders of the Medical Center. He has also several decades of experience in developing programs for the professional/leadership skills development at several levels throughout the medical center. He is co-leading the development and delivery of innovative professional leadership and management skills to BMI students.

More Information