I’m Simon Boehm. I’m in the final year of a Data Science Master’s at ETH Zurich. Currently I’m an intern with QuantCo, a Data Science company, where I work on making our data storage more efficient and scalable.
For the last 6 months, I’ve cared about atoms and bits equally, splitting my time between studying molecular biology and working on Data Engineering & Machine Learning.
- For two years, I was an associate at First Momentum Ventures, a pre-seed VC, where I built a scraping-based database of all startups in central Europe. We used this data for (semi-automated) deal sourcing.
- As an undergrad researcher, I was working on using normalizing flows for conditional density estimation. That work went into a Python package and a Paper.
- Early during my studies, I helped open a free coworking space for student startups and was working on a company that makes small logistics providers more efficient.
My favourite book is “Gödel Escher Bach” by Douglas Hofstadter.Funny enough, that book was what originally got me interested in machine learning. The best blogpost I’ve read last year was Augmenting Long-term Memory, about using a flashcard system to learn everything.
I like getting email, you can reach me at [firstname]@siboehm.com.