Shlomi Hod

Shlomi is a data scientist and educator. He works on developing knowledge, practices, and tools to audit and mitigate the biases of real-world AI systems. He is the developer of Responsibly an open-source toolkit that brings techniques from AI bias and fairness research to practitioners. In CHAI, Shlomi works on developing a new method for increasing the interpretability of neural networks under the supervision of Daniel Filan. Besides that, Shlomi teaches various computing classes on Python programming and machine learning. His focus is on teaching a methodical and thoughtful process of programming problem-solving. He is one of the co-founders of the Israeli Cyber Education Center, where he led the design of national computing programs for kids and teenagers. For example, he initiated and managed the development of the cybersecurity Bagrut (the Israeli matriculation exam, the equivalent of A-level), and co-authored a Computer Network textbook in tutorial approach in Hebrew Before that, Shlomi worked as an algorithmic researcher and a research team leader in cybersecurity. He holds a B.Sc.. in pure Mathematics from Bar-Ilan University. Currently, he studies for an M.Sc. in Cognitive Systems at the University of Potsdam in Germany. In January 2020, Shlomi will start a Ph.D. in Computer Science in Boston Univesity.