I received my PhD from
the Stanford Artificial Intelligence Lab, advised by Daphne Koller, and a member of her
group. My research interests include probabilistic models, Bayesian inference, Markov Chain Monte Carlo
methods, and nonparametric priors over domains with unknown complexity.
In my PhD, I worked with high-throughput sequencing data from diverse biological
environments. I built a sequence assembler that
receives short reads from genomic DNA and returns high-probability assemblies. My main research
focused on the immune system. I wrote a tool that identifies clones of B cells from millions
of short reads taken from healthy or malignant tissues. For each clone, the tool draws the mutation
tree, giving the user a big-picture view of an individual's immune system.
Before Stanford I studied in the Technion (Israel), where I received an undergraduate
degree in both Computer Science and Mathematics, and later a Master's degree in Computer Science.
I was also in the Techinon's Excellence Program.
During my Stanford years, I was an intern in Google Inc. and IBM Research.
For my most recent resume, please visit my LinkedIn page, here.