معرفی
Raison Dsouza serves as a Researcher at the Morgridge Institute for Research within the John W. and Jeanne M. Rowe Center for Research in Virology, working under Dr. Timothy Grant. His work focuses on computational analysis of molecular machines using cryo-electron microscopy, developing template matching algorithms for particle identification and machine learning approaches to address conformational heterogeneity in noisy datasets.
His academic background includes:
- Ph.D. in Physics (2019) from the Max Planck Institute for Structure and Dynamics of Matter, Hamburg, Germany
- M.Sc. in Physics (2015) from the National Institute of Technology Karnataka, India
- B.Sc. in Physics (2013) from St. Aloysius College, India
Dr. Dsouza's research spans computational structural biology with emphasis on cryo-EM methodology development. He pioneers machine learning techniques to resolve molecular conformational states and creates virtual reality software for immersive molecular visualization, enabling deeper analysis of protein functional mechanisms in cellular contexts. His work bridges physics, computer science, and virology to advance structural understanding of biological macromolecules.
Analysis of his publication record reveals a dual expertise in cryo-EM computational methods (particle picking, manifold learning, energy landscape mapping) and ultrafast photochemical dynamics. Recent work demonstrates increasing sophistication in machine learning integration for structural biology, while maintaining strong contributions to physical chemistry through studies of photochromic systems and molecular switching mechanisms.
He actively contributes to the Rowe Center's mission through collaborative research with Dr. Grant's team, focusing on computational approaches to virology challenges. His software development efforts in virtual reality visualization represent innovative cross-disciplinary work aimed at transforming how researchers interact with complex molecular data.
