We welcome people with diverse backgrounds. It does not matter if you are an experimental biologist, computational scientist, or a machine learning researcher. We respect curiosity, hard work, and most importantly, the ability to ask challenging questions.
There are always open positions that may be of interest. Do drop in an email [my last name followed by ‘a’]@anl.gov if you are interested in joining us.
Dr. Richard Kriwacki
Dr. Carlos Lopez
Machine Learning/ AI
Dr. Chakra S. Chennubhotla
Dr. Shannon Quinn
High Performance Computing
Dr. Shantenu Jha
Dr. Venkat Vishwanath
Dr. Heng Ma: is joining us from Oak Ridge National Laboratory. His research is in the areas of multi-scale molecular simulations and high performance computing. He develops machine learning driven approaches to automatically coarse-grain simulations and run them at scale using novel workflow techniques.
Dr. Carla Mann: joined us from Iowa State. Her research focuses on developing machine learning and artificial intelligence techniques for secure bio systems design.
Priyanka V. Setty: University of Chicago, Computer science. Her focus is on using machine learning and AI tools for automating biological experiments. She is currently
Alexander Brace: University of Michigan, pre-doctoral student. His focus is on building AI/robotics tools for biological experimental design.
Max Zvyagin: University of Chicago, pre-doctoral student. Max is building novel approaches to build scalable hyperparameter optimization tools and working with deep learning for multimodal datasets.
Anda Trifan: University of Illinois at Urbana-Champaign. Anda is using our AI driven MD simulation frameworks to study large-scale conformational transitions in several proteins, including Ras, the SARS-Cov-2 viral Spike protein, etc.
Dr. Debsindhu Bhowmik : is a computational scientist at Oak Ridge National Laboratory. His research in our group spanned the intersection of deep learning, molecular dynamics and neutron scattering techniques to study disordered protein systems.