Eli Weinstein is a postdoctoral research scientist at the Data Science Institute at Columbia University.
Weinstein is interested in generative statistical methods for biological sequences. In his work, Weinstein develops techniques to learn from complex observational sequence data and predict novel sequences that can be synthesized in the laboratory. These methods have application in evolutionary biology, immunology, microbiology, virology, clinical genetics and many other areas of biology, biomedicine and biotechnology.
Weinstein received his PhD in biophysics from Harvard University in May 2022, advised by Debora Marks and Jeff Miller. He received an AB from Harvard in 2016, concentrating in chemistry and physics, and working with Adam Cohen.
Outside of his scientific research, Weinstein also maintains an interest in the history of science. He is from South Pasadena, California.
