Dr. Eric J Sorin is a distinguished scholar in computational biochemistry whose innovative research bridges theoretical approaches with biological applications. He currently serves as Associate Professor in the Department of Chemistry & Biochemistry at California State University, Long Beach since 2007. Dr. Sorin earned his Ph.D. in Chemistry/Chemical Physics from Stanford University, where he was a participant in the prestigious DOE Computational Science Graduate Fellowship program from 2002 to 2004. His academic trajectory reflects a dedicated commitment to advancing computational methodologies within biochemical contexts, establishing him as a respected educator and innovative researcher in the interdisciplinary field.
Research in the Sorin Laboratory focuses on the strategic application of molecular modeling techniques to investigate complex biochemical phenomena and biomolecular interactions. His methodological contributions have enhanced scientific capabilities to predict and analyze protein dynamics and molecular recognition processes through sophisticated computational frameworks. Dr. Sorin's work exemplifies the powerful integration of theoretical models with experimental biochemistry, creating valuable tools that advance understanding in biophysical systems. His research has particular relevance to improving our comprehension of molecular behaviors with potential applications in pharmaceutical development and molecular engineering.
Dr. Sorin has been deeply committed to undergraduate and graduate education, consistently noting how he has been "continually challenged and amazed by our students" throughout his academic career at CSULB. His mentorship has cultivated numerous emerging scientists who have pursued advanced studies and careers in biochemistry and related scientific disciplines. As computational approaches continue to transform biochemical research, Dr. Sorin remains at the forefront of integrating these methodologies into both his research program and educational initiatives. His ongoing work promises to further advance the interdisciplinary field of computational biochemistry while maintaining his steadfast dedication to scholarly excellence and pedagogical innovation.
