I am a Professor in the Department of Computer Science with a courtesy appointment in ECSE Department. I have been serving as the founding Director of Data Science Research Center, and Associated Director of IDEA at Rensselaer Polytechnic Institute (RPI) in Troy, New York. I received MS. and Ph.D. degrees in Computer Science, both from Columbia University , in 1987 and 1994, respectively. Before joining RPI, I was a Member of the Technical Staff at the Bell Laboratories in Murray Hill, New Jersey. My current research interests include applied machine learning in bioinformatics, medical informatics, and cyber security. I am a Fellow of the IEEE, a Senior Member of ACM, and a member of AAA.

Dr. Lin joined the Rensselaer faculty as an Assistant Professor of Economics in Fall 2017. Her research interests include topics in Health Economics, Industrial Organization, and Applied Econometrics.  She currently focuses on issues related to health information technology (IT) adoption, as well as how health IT impacts hospital financial and quality performance.

Dr. Boleslaw K. Szymanski is the Claire and Roland Schmitt Distinguished Professor at the Department of Computer Science and the Director of the ARL Social and Cognitive Networks Academic Research Center at the Rensselaer Polytechnic Institute. He received his Ph.D. in Computer Science from National Academy of Sciences in Warsaw, Poland, in 1976. Dr. Szymanski published over four hundred scientific articles. He is a foreign member of the National Academy of Science in Poland, an IEEE Fellow and a member of the IEEE Computer Society, and Association for Computing Machinery for which he was National Lecturer. He received the Wiley Distinguished Faculty Award in 2003 and the Wilkes Medal of British Computer Society in 2009. His research interests cover the broad area of network science with current focus on social and computer networks.

Chris Carothers is a Professor in the Computer Science Department at Rensselaer Polytechnic Institute. His research interest are in massively parallel systems focusing on modeling and simulation systems of all sorts. Prof. Carothers is an NSF CAREER award winner and is currently active in the DOE Exascale Co-Design Program associated with designs for next generation exascale storage systems as well as the NSF PetaApps Program, and the Army Research Center's Mobile Network Modeling Institute

Curt Breneman was born in Santa Monica, California in 1956, and went on to earn a B.S. in Chemistry at UCLA in 1980 followed by a Ph.D. in Chemistry at UC Santa Barbara (with an emphasis on Physical Organic and Computational Chemistry) in 1987. Following two years of post-doctoral research at Yale University, Dr. Breneman joined the faculty of the Department of Chemistry at Rensselaer Polytechnic Institute (RPI) and began a program in molecular recognition and computational chemistry based on his concept of "Transferable Atom Equivalents", or TAEs, as building blocks for describing the electronic and reactive character of molecules. Dr. Breneman currently holds the rank of Full Professor in the RPI Department of Chemistry and Chemical Biology, and is the Director of the NIH RECCR Center. He later served as Head of the Department of Chemistry & Chemical Biology and now as Dean of the School of Science. The Breneman research group primarily specializes in the development of new molecular property descriptors and machine learning methods that can be applied to a diverse set of physical and biochemical problems. Of paramount interest are methods that can increase the information content of molecular descriptors, and machine learning techniques that can exploit this data for the creation of fully validated, predictive property models. Current application areas include pharmaceutical ADME prediction, virtual high-throughput screening of drug candidates, protein chromatography modeling (HIC and ion-exchange), as well as polymer property prediction.

Deborah McGuinness is a leading expert in knowledge representation and reasoning languages and systems and has worked in ontology creation and evolution environments for over 20 years. Most recently, McGuinness is best known for her leadership role in semantic web research, and for her work on explanation, trust, and applications of semantic web technology, particularly for scientific applications. “I am interested in making smart systems that help people and machines function better,” said McGuinness. “My slant on this work is to research, develop, and use semantic technologies that allow people and machines to represent, reason with, visualize, and explain information in ways that support understanding and (re)use.   My application areas cover a wide range of domain areas, but often in earth and space science informatics and health informatics.”

Director of the Rensselaer Polytechnic Institute Center for Biotechnology & Interdisciplinary Studies (CBIS), conducting breakthrough research on bones, Deepak Vashishth, PhD, is working to redefine the role of a top tier research university: one that is engaged in public and private partnerships, involved in interdisciplinary research, and providing quality education, all to drive entrepreneurial, sustainable, socially responsible scientific discovery and technological innovation. Administrative leadership: Through his work as a University Center Director, previously as a School of Engineering Department head, and in professional societies he has successfully developed partnerships, Programs, and platforms, to drive translational scientific research across disciplines, sectors,and geographic boundaries. As Director of CBIS he oversees 70 resident and non-resident faculty (from each of the five Rensselaer Polytechnic Institute schools); engages with global partners in the public, private, and academic sectors; and fosters innovative graduate and undergraduate research and education initiatives. In his first two years as CBIS Director he has: envisioned and facilitated the creation of two transformative research centers (Bioimaging Center and Center for Translational Research in Medicine); led the development of an industry partners program to enhance technology transfer and commercialization; and broadened the scope of interdisciplinary research by combining biotechnology with architecture, humanities, and management. As Department Head of Biomedical Engineering (BME) in the School of Engineering at Rensselaer, in just 3 years he dramatically grew and strengthened the department: increased tenured faculty tenfold (1 to 10); added a senior endowed chair to its rank; and it became home to 7 NSF career awardees and recipient of more than 10 NIH RO1 awards (from 2 in 2009). As a committee member of the Orthopaedic Research Society, he developed and facilitated a “Symposium in Translational Medicine” designed to accelerate the transition of discoveries from lab bench to bedside by bridging the gap between clinical, basic science & engineering, government agencies (FDA) and industry. Research leadership: Dr. Vashishth’s research interests are in the area of biomolecular science and engineering of extracellular matrix with particular emphasis on diagnosis and treatment of osteoporosis and bone tissue engineering. His collaborative, interdisciplinary bone research is redefining how osteoporosis will be diagnosed and treated. In 2012 he was elected Fellow of the American Institute of Medical and Biological Engineering (AIMBE) for contributions to the understanding of how both age and collagen‐modification affect bone fragility (cited over 1000 times). AIMBE fellows represent the top 2% of the medical and biological engineering community in the world and are elected based on nomination and vote by AIMBE fellows (http://aimbe.org/college-of-fellows/cof-1479/). He has opened new avenues for diagnosing and treating osteoporosis by developing a new technique to identify bone proteome from nanoscale samples. The process also has been applied for analyzing precious fossils. He is bringing his breakthrough research to market, co-founding a company (Orthograft plc), to produce the acellular biomimetic grafts for bone repair. Professor Vashishth and his research group have published over 200 peer-reviewed journal publications and conference proceedings in top journals including PNAS, Molecular and Cellular Proteomics, Plos One and others. His work presented in the form of over 100 invited and contributed lectures has been cited as a “New Hope for Osteoporosis Patients” and “Secret Formula for Bone Strength” in mainstream media. Working in collaboration with others, his research group has identified new structural roles for bone proteins and developed new biomimickry-based strategies for tissue engineering scaffolds. In addition to being a Fellow of and active in the AIMBE, he serves as a member of the National Institutes of Health study section on Skeletal Biology and Skeletal Regeneration. He is a board member of the Journal of the Mechanical Behavior of Biomedical Materials and a regular reviewer for other federal and international funding agencies, private foundations and university grants, and journals. He also is a member of the Biomedical Engineering Society, American Society of Bone and Mineral Research and the Orthopaedic Research Society. Educational leadership: Fundamentally focused on education, he is preparing the next generation of researchers and the “faculty of the future” by infusing undergraduate and graduate programs with a more interdisciplinary, collaborative, global perspective on sustainable, translational scientific research. In recognition of his dedication to education, he has won Rensselaer awards for outstanding and innovative classroom teaching including the Class of 1951 Outstanding Teaching award. As CBIS Director, he established new global partnerships, redesigned graduate training programs, and developed a new course, all designed to prepare the “faculty of the future,” focused on sustainable collaborative interdisciplinary research and technology transfer and commercialization. As BME department head (2009-2013): expanded the graduate program three-fold (from 20 to 60 students), attracted more highly qualified graduate students, and promoted early success (National fellowships). He overhauled curriculum, to enhance learning and to improve the undergraduate experience, by reducing class size and providing hands-on education in a technologically connected classroom. Background: He earned his B. Eng with honors from Malaviya National Institute of Technology (India), MS from West Virginia University (USA) and PhD from the University of London (UK). He then conducted post-doctoral research at the Bone and Joint Center, Department of Orthopaedic Surgery, Henry Ford Hospital before joining Rensselaer as an Assistant Professor in Biomedical Engineering in 1999.

Dr. Schwendeman received his B.S.E. in Aerospace Engineering from the University of Michigan, and earned his Ph.D. in Applied Mathematics at the California Institute of Technology (Caltech) under the supervision of Professor G.B. Whitham, FRS.  Dr. Schwendeman took a one-year postdoctoral research position at Caltech working with Professor H.B. Keller, before joining the faculty in the Department of Mathematical Sciences at Rensselaer as an assistant professor in August, 1987.  Dr. Schwendeman received promotions to associate professor with tenure and then professor, and was named the Head of the Department of Mathematical Sciences in 2012. Dr. Schwendeman's research focuses on the development and analysis of numerical methods for systems of partial differential equations (PDEs) that arise in applications of science and engineering.  A significant portion of his work has centered around the development of numerical methods for systems of PDEs modeling wave phenomena in reactive and nonreactive flows.  This work has included numerical studies of shock wave focusing and convergence, transonic and hypersonic aerodynamics, and multi-phase and multi-material high-speed reactive flow.  In recent work, Dr. Schwendeman has developed a class of new numerical methods for fluid-structure interaction problems.  All of this work has been in collaboration with researchers at national labs (Los Alamos and Lawrence Livermore) and at Rensselaer. Dr. Schwendeman is also actively involved in undergraduate and graduate education and career development.  He is a leader among the consortium of universities organizing the Mathematical Problems in Industry Workshop (1993-present), and the originator and lead organizer of the Graduate Student Mathematical Modeling Camp (2004-present).  Dr. Schwendeman is also an active member of the NSF-funded Research Training Grant (RTG) program in the department, which supports the research and education of several graduate students and postdoctoral research fellows.

Dorit Nevo is a Professor of Management Information Systems at the Lally School of Management. She joined RPI in 2012, and prior to that was an Associate Professor at the Schulich School of Business in Toronto. Professor Nevo obtained her BA and MS in Economics and PhD in Management Information Systems. Since joining RPI, she held the roles of program director for the MS in Business Analytics, Acting Associate Dean for the Lally school of Management, and MS and MBA programs director. Dorit’s research focuses on interactions between computers and their users within the business environment. This work was published in leading academic and business journals including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Sloan Management Review, and the Wall Street Journal. She also examines how news readers receive the advice of fake news algorithms. This work received media attention from the ACM and IEEE among others. On the teaching front, Dorit mostly teaches Statistics and Data Science at the Lally School of Management. She is the recipient of the RPI Trustees’ Outstanding Teacher Award and the David M. Darrin ’40 Counseling Award in Celebration of CLASS.

Dr. Jennifer Hurley received her B.S. from Juniata College in 2004 in molecular biology. She did her Ph.D. at Rutgers/UMDNJ with Drs. Nancy Woychik and Masayori Inouye, studying the function of Toxin-Antitoxin modules in bacteria. She was recognized by the American Society for Biochemistry and Molecular Biology for excellence in research for her study of the HigBA toxin-antitoxin module. Jennifer did her Postdoctoral fellowship at the Geisel School of Medicine at Dartmouth with Drs. Jay Dunlap and Jennifer Loros, investigating the relationship between the core proteins and the output of the circadian clock in Neurospora. Her Fellowship was funded by the Ruth Kirschstein National Research Service Award from the National Institute of General Medical Sciences and she received a Perkins award for her contributions to Neurospora research. Dr. Hurley joined the Department of Biological Sciences at Rensselaer Polytechnic Institute in 2015. Her lab has received the 2020 Junior Faculty Research Award from the School of Science at RPI, the 2020 Society for Research in Biological Rhythms Junior Faculty Research Award, the Beadle and Tatum Award from the Neurospora Society, and NIH MIRA award and an NSF CAREER award.