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

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. 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.

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.

Jen Pazour is a Professor and the PhD Program Director in the department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in Troy, NY. Her research and teaching focus on the development and use of mathematical models to guide decision making for logistics and supply chain challenges. Modern supply chain systems need to fulfill a wide variety of requests quickly with little warning in small units to many dispersed locations at low costs. These characteristics are fundamentally different than yesterday’s demand that aggregated at given locations. In the face of this disconnect, her team's research thinks differently about how supply chain resources are acquired, managed, and allocated to fulfill customer requests. In doing so, her team's contributions span a diverse array of applications, including resource sharing platforms, peer-to-peer transportation systems, on-demand warehousing platforms, and crowdsourced order fulfillment systems, as well as facility logistics and transportation systems. Methodologically, they are modelers, whose core intellectual strength is in the development of mathematical and computational representations of sociotechnical systems and processes. Their research approach is to (1) create optimization models encompassing the primary system and decision trade-offs, (2) discover solution approaches and algorithms to efficiently solve the optimization models, (3) use the developed models and approaches to better understand the implications of the sociotechnical system’s design and operation, and then (4) through theoretical results, computational experiments, and statistical analysis provide managerial insights and policy recommendations. Her team has created a wide range of operations research tools, including integer linear programs, bi-level optimization formulations, queuing models, and analytical models. Jen is a recipient of a National Science Foundation Faculty Early Career Development (CAREER) Award, a Johnson & Johnson Women in STEM2D Scholars Award, a National Academies of Science Gulf Research Program Early-Career Fellowship, and a Young Investigator Award from the Office of Naval Research. She was awarded the Rensselaer Alumni Teaching Award, the IISE Logistics and Supply Chain Division Teaching Award, and the IISE Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award. She is an Associate Editor of Transportation Science, IISE Transactions, Military Operations Research, and OMEGA. She has served professional societies, for example, as a speaker and session organizer at the NAE Frontiers of Engineering Symposium, as the chair of the INFORMS professional recognition committee, chair of the INFORMS undergraduate operations research prize, chair of INFORMS TSL Facility Logistics SIG, the communications chair of the IISE Logistics and Supply Chain division and is on the IISE Transaction Social Media Team. She proudly holds three degrees in Industrial Engineering (a B.S. from South Dakota School of Mines and Technology, and a M.S. and Ph.D. from the University of Arkansas). More information can be found at her research and teaching blog: http://jenpazour.wordpress.com/

Lydia Manikonda is an Assistant Professor in the Lally School of Management who is also affiliated with the AIRC at RPI. Her passion is to build intelligent decision-making models that are capable of learning and reasoning. These models are built to address problems in the areas of business, public health and Technology. Her multidisciplinary research aims at using alternate sources of information such as social media platforms, online discussion forums, news articles, etc. to build models for analysis and decision-making. So far, her research work has received several media mentions, a best reviewer award at ICWSM 2016 and an outstanding demonstration award at ICAPS 2014. Lydia received her PhD in Computer Science from Arizona State University in 2019. More information about her research and publications can be found here: website or Google Scholar

Liu Liu is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering and the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). He holds a Ph.D. in Computer Science and an M.S. in Electrical and Computer Engineering from the University of California, Santa Barbara. At RPI, he directs the Efficient, Parallel, and Intelligent Computing (EPIC) Lab, focusing on the design of elastic AI computing systems and architecture, with multiple industry-funded collaborations. He is a recipient of the Peter J Frenkel Fellowship from the Institute of Energy Efficiency at UCSB and the 2023 Samsung Global Research Outreach program.

Lirong Xia is an assistant professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). Prior to joining RPI in 2013, he was a CRCS fellow and NSF CI Fellow at the Center for Research on Computation and Society at Harvard University. He received his PhD in Computer Science and MA in Economics from Duke University. His research focuses on the intersection of computer science and microeconomics, in particular computational social choice, game theory, mechanism design, and prediction markets. He is an associate editor of Mathematical Social Sciences and is on the editorial board of Journal of Artificial Intelligence Research. He is the recipient of an NSF CAREER award, a Simons-Berkeley Research Fellowship, and was named as one of "AI's 10 to watch 2015" by IEEE Intelligent Systems.

Dr. Bennett brings over 30 years of research experience in artificial intelligence, machine learning, and their applications to problems in health, science, and industry. Her research specialty is working with people with problems and data and then developing novel machine learning and AI models and work flows to solve their problems. She serves as Associate Director of Institute of Data Exploration and Applications (IDEA). Her role is to both lead major data science research projects, develop and lead teams for new research projects, and create data science research education programs. Her work with industry includes projects with GE (PI) and Global Foundries (co-Pi). She have been PI or Co-Pi on many data science research projects funded by GE (PI), Global Foundries (co-PI), Albany Capital District Physicians Health Plan (HMO, PI), IBM (co-PI), United Health Foundation/OPTUM Labs (PI), HBI Solutions (Healthcare Data Science, PI), Albany Medical Center (Hospital, PI), Bill and Melinda Gates Foundation (co-PI), NIH (PI and co-PI) and NSF (PI and co-PI). She has worked with electronic medical records and public health data to develop solutions to problems such as Treatment Effect Estimation, Emergency Department Readmission, Critical Care Management, and High Cost Medicare Patients. She works in emerging research areas such as health equity, ML fairness, and synthetic health data. She has been program chair and area chair, PC member and/or organizer for conferences in machine learning, data mining, and operations research including KDD, AAAI, Intl. Conf. on Continuous Optimization, International Conference on Machine Learning, NIPS, IEEE Conf. on Data Mining, COLT, INFORMS, and SIAM ICDM. She has over 130 research publications. She has been a plenary speaker at major conferences including AAAI, IJCNN, and IEEE BIBM. She founded and directs the Data INCITE Lab which does novel applied data analytics research. Data INCITE fully integrates education and research. Over 250 undergrad students have done research in Lab on real problems for actual clients resulting in publications and applications. Recent awards from her group include “MortalityMinder” https://mortalityminder.idea.rpi.edu which was a winner in the AHRQ Visualization of Social Determinants of Health Contest, 2019 and Best Student paper at ACM BCB 2021.

Dr. Karyn Rogers joined the faculty at Rensselaer Polytechnic Institute in 2013 after serving as a Research Scientist at the Carnegie Institution of Washington, Assistant Professor at the University of Missouri, and a Deep Ocean Exploration Institute Postdoctoral Scholar at Woods Hole Oceanographic Institution. Dr. Rogers completed her PhD in Earth and Planetary Sciences at Washington University in St. Louis, with previous degrees awarded from Stanford University (M.S. 2001) and Harvard University (A.B. 1996). Dr. Rogers is a member of the New York Center for Astrobiology (NYCA) and the Institute for Data Exploration and Applications (IDEA). Dr. Rogers’ research focuses on the relationships between microbial communities and environmental conditions in extreme ecosystems, and is broadly applied to understanding the nature of the origin of life on Earth, the potential for life throughout the solar system, and the extent of life in modern extreme environments. To advance our understanding of environmental microbiomes in these systems, Dr. Rogers research program includes field research in early Earth and Mars analog environments as well as laboratory experimental studies of microbial behavior under extreme conditions. Additionally, the group is exploring the viability of abiotic synthesis of biomolecules over a range of early Earth conditions. The driving question in this research is how realistic environmental conditions combine to form habitable niches that can both support the early emergence of life as well as the long-term survival of life in these environments. Dr. Rogers’ fieldwork includes several terrestrial hydrothermal systems including Cerro Negro Volcano, Nicaragua, the Vulcano shallow marine hydrothermal system in Italy, and several modern deep-sea mid-ocean ridge environments. These field endeavors are combined with extensive laboratory analytical and experimental techniques to develop a holistic picture of functional microbial ecosystems. More specifically, laboratory techniques include cultivation of extremophiles under high pressure, high temperature, acidic, and anaerobic conditions; a next-generation genomics approach to determine the functional environmental microbiome in extreme systems; geochemical analyses and modeling of environmental and bioenergetics parameters; and the synthesis of these datasets using novel data analytics. Dr. Rogers’ research program currently includes two postdoctoral associates, four graduate students (in both Earth & Environmental Sciences and the Department of Biological Sciences), and several undergraduate researchers. The laboratory is housed in Jonsson-Rowland Science Center and includes a state of the art high-pressure microbial cultivation facility. Additionally, Dr. Rogers is the US Lead for the Deep Carbon Observatory’s (Sloan Foundation) High Pressure Sampling, Transport, and Cultivation User Facility and the co-chair of the UNOLS Deep Submergence Science Committee New User Program. Dr. Rogers teaches courses in Geobiology, Aqueous Geochemistry, the Origin of Life, Advanced Geomicrobiology, and Planetary Habitability.