Hi, I’m Jacob. I’m a data science intern at Microsoft Cortana. This past summer, I worked on using deep learning to extract suggested meetings from emails in Outlook, and extended this to develop a classification model for multi-turn conversations.
During the school year, I take honors computer science at Carleton University in Ottawa, Canada. I’m entering the senior year of my undergraduate degree, and I’ve been accepted to the 5-year masters track - with a concentration in data science - at the Ottawa-Carleton Institute of Computer Science. My coursework focuses on deep learning, information retrieval, and knowledge graphs. I’m also a TA for courses like Introduction to Web Development and Storytelling with Data.
I am currently looking to gain strong research experience to prepare for graduate studies, with the goal of becoming a research scientist. You can find my work here. My general research interests include stylistic variation in conversations, malicious interactions on social media, and machine learning in sports (primarily NBA/MLB).
- August 16, 2019: My work, Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports, was accepted to the 2019 Carnegie Mellon Sports Analytics Conference! I’ll be presenting my poster there in November.
- July 26, 2019: I completed my second software engineering internship at Microsoft. Next summer, I’ll be returning as a data scientist intern!