Elianna Knight is an M.D. candidate at Yale School of Medicine and is an investor at Two Sigma Ventures. At Yale, she is researching medical applications of quantum machine learning in the Shultz Lab and working on latent diffusion models for antibody CDR generation in the Gerstein Lab. Before this role, Elianna held positions at an ethereum infrastructure company as a data scientist and at a genetics company as a programmer, developing critical data solutions. At Stanford University, where she secured her B.S. in Mathematical and Computational Science and an M.S. in Statistics, she undertook research to apply the selective inference via maximum likelihood method to deconvolve polygenic risk scores under Professor Jonathan Taylor and delved into the genetic basis of biomarker variations in the Biomedical Data Science Department with Manual Rivas. Elianna’s miscellaneous pastimes have her skiing, swimming and exploring encryption techniques for genomic data interpretation. She aspires to be able to surf one day but is not naturally gifted.