You’ve had a variety of roles from when you first joined Segal up to this point. Do tell us: how did you end up in MEL (monitoring and evaluation), safeguarding, and program learning?
Thank you, Sylvia. I’ll talk about how I ended up at Segal. There was a brief period of time when I thought I wanted to be a scientist, but that passed very quickly. I knew deep in my heart that I always wanted to work with people, and so I gravitated towards social sciences. After college, I worked briefly in the development space, worked with HIV organizations, with children’s rights organizations, and ended up working in philanthropy in 2008. That was an interesting journey. I had a chance to work with a lot of human rights and social justice organizations that were eliminating the problems of the world and that were looking to hold governments accountable, pushing for transparency.
From Linear Algebra to Deep Learning in 7 Books (Winter 2024 Update)
Each of those five books I think are really great, for their very own reasons. Elements of Statistical Learning for example is what got me excited…