Princeton University, Ph.D.
Princeton University, M.A.
Stanford University, B.S.
Adi received his undergraduate degree in Biology at Stanford University and his Masters and Ph.D. in Ecology and Evolutionary Biology at Princeton Univ-ersity. He was then a Miller Fellow at the Miller Institute for Basic Research in Science at UC Berkeley, hosted by Christos Papadimitriou at the Computer Science Di-vision. Under Adi's directorship, the lab studies evolution from both a theoretical and an empirical perspective, focusing on the role of mutational and recombinational mechanisms in evolution. We also work at the interface of Evolutionary Biology and Theoretical Computer Science.
Liudmyla is a mathematician pursuing her Ph.D. in evolutionary biology. She uses mathematical models and computer simulations to examine mutational and recombinational mechanisms and their role in evolution. Through her research, Liudmyla explores exciting, novel issues at the interface of evolutionary biology and computer science.
Tel Aviv University, M.A.
Tel Aviv University, B.S.
Daniel received his undergraduate degree in Biology and his Masters in Cell Research and Immunology at Tel Aviv University, and his Ph.D. in Biology at the Israel Institute of Technology, the Technion. He was then a Howard Hughes Medical Institute (HHMI) Fellow at the University of Washington at Seattle working at the lab of Stanley Fields. Daniel is an expert on molecular biological methods development. He spearheads the design of novel techniques and their application to the study of mutational and recombinational mechanisms in our lab and helps to supervise research projects on the fundamental nature of mutation.
Dr. Evgeni Bolotin
Evgeni received his Ph.D. in computational evolutionary genomics at the Israel Institute of Technology, the Technion. Evgeni applies bioinformatic techniques to the a host of creative studies on the nature of mutation. He examines both structural variation and point mutations in the human and primate genomes and their relation to mixability theory and interaction-based evolution.