Dr. Grzymski is the Senior Director of the Applied Innovation Center and an Associate Research Professor of microbiology and computational biology. He holds adjunct positions in molecular biosciences and hydrology at the University of Nevada, Reno. He is co-founder of the companies Evozym Biologics, Inc and EMS Genomics, LLC. His academic research focuses on adaptations in microbes to extreme environments using methods from biophysics, molecular biology, informatics and microbiology. Joe received his BA in philosophy and biology from Bowdoin College. He was a Fulbright Scholar before attending Rutgers University where he received a Ph.D in Oceanography. In his spare time, Joe plays tennis, runs, cooks and enjoys spending time with his family. He has been at DRI and lived in Nevada for 12 years. He is passionate about improving Nevada’s economy through the promotion of DRI’s incredible science.
Kumud Acharya
Dr. Acharya’s research involves aquatic and biological stoichiometry, the study of balance of energy and multiple chemical elements. He is particularly interested in how human management of watersheds affects aquatic invertebrate community structure in aquatic environments. Aquatic invertebrates face special evolutionary challenges in these systems due to factors such as hydroperiod, flow or anthropogenic effects. My specific studies involve observational and experimental studies at various scales, including laboratory cultures (zooplankton, algal chemostats), short-term field experiments and sustained whole-ecosystem manipulations. His other research interests are nutrient cycling, wastewater treatment systems, groundwater management, and ecological modeling. Recently completed studies include role of zooplankton populations in large river (Ohio River) food webs, impact of changes in hydrological conditions (e.g., excessive rainfall or drought conditions) in riverine biota via changes in nutrient and food conditions.
Sushil Louis
Dr. Louis works in Genetic Algorithms, Evolutionary Computing and their applications to Artificial Intelligence, Machine Learning, and Optimization. His current work investigates adaptive AI for RTS-games, interaction design for controlling large numbers of heterogeneous, semi-autonomous entities, and generating real-time micro for game and real-world agents. The Evolutionary Computing Systems Lab (ECSL), which I direct, has investigated new techniques for machine learning using Case-Injected Genetic AlgoRithms (CIGAR), new techniques for playing to learn to play computer games, and new techniques for evolving Real-Time Strategy (RTS) game micro and macro.