QASR is happy to announce a new blog feature, the Alumni Interview Series!
Considering the broad scope of what constitutes social science, and the myriad of ways that our skills can be applied, we will be interviewing alumni near and far in order to give prospective students some more insight into the Quantitative Methods in the Social Sciences program here at Columbia and post-graduation prospectives. We aim to provide particular attention to alumni who decided to pursue careers outside of New York and thus may not have as many opportunities to bring their valuable insights back to the community.
Our first interview is with Kendall Loh (class of ’19). Kendall is a software engineer at GNS Healthcare in Cambridge, MA, where he does testing on causal machine learning products. He also works with the data science delivery team to produce workflow documentation for pharmaceutical clients.
Could you describe your back ground?
What lead you to apply for the QMSS program?
Are there any skills, classes, or research opportunities in the program that you found very pertinent to your own goals?
Do you have any advice for individuals applying for the program?