Data Scientist

Yannik explains to Nick the common misconceptions people have about Harvard, and compare and contrasts his experience at a small private school (Harvard) in comparison to a large public school (UC Berkeley). He explains how Harvard has a "house system", which can largely dictate ones experience at the Ivy League University, and how he felt that the system at the UC's were much more "sink or swim" in comparison to Harvard that had a more thorough support system.  Yannik explains to Nick why he decided to pursue a Ph.D., explains the differences between a "statistician" and.a "mathematician". Yannik goes on to talk about how rigorous high school was in comparison to college and earning a Ph.D., and how international schools in Tokyo prepped him well for schools like Harvard and Berkeley. That "If you can survive ASIJ, you can survive Harvard".   The two discuss the role of "race" at Harvard vs Berkeley, and living in Florida v Boston v the Bay Area, and discuss the difference between implicit bias v overt racism. Yannik explains to Nick how there is almost a duality in thinking when it comes to race in areas like San Francisco, where there are signs indicating "Black Lives Matters", but very few Black individuals residing in city itself. Yannik explains to Nick how his industry of data science needs industry leaders of color in order to see true change.  

Data Scientist ​

Yannik holds a Ph.D. in statistics from UC Berkeley. He is beginning a career as a senior data scientist at a pharmaceutical company in Chicago this fall. He studied mathematics and economics at Harvard, but as he got older, he transitioned more toward statistics and computer science because that's where the money was. ​When he isn't coming up with statistical models, you can find him playing futevolei on the beach, playing poker at a Vegas casino, or going on long drives blasting Tame Impala.  Timestamps 0:00 Introduction