About Me
I am a Digital Innovator at Sumitovant Biopharma, where I work with stakeholders to build data-driven tools that accelerate the drug development process.I am a data scientist by training. I received my Master of Science in Computational Science and Engineering from Harvard University's Institute for Applied Computational Science in March 2019. My coursework was focused on data science, probabilistic modeling, deep learning, and high-performance computing.
Prior to Sumitovant, I was a Data Scientist at SimpleBet, a sports betting startup in New York City, and a Computer Vision/Data Science intern at Perceptive Automata, a startup in the autonomous driving space based in Boston.
I am a data scientist by training. I received my Master of Science in Computational Science and Engineering from Harvard University's Institute for Applied Computational Science in March
2019. My coursework was focused on data science, probabilistic modeling, deep learning, and high-performance computing.
Prior to Sumitovant, I was a Data Scientist at SimpleBet, a sports betting startup in New York City, and a Computer Vision/Data Science intern at Perceptive Automata, a startup in the autonomous driving space based in Boston.
Prior to Sumitovant, I was a Data Scientist at SimpleBet, a sports betting startup in New York City, and a Computer Vision/Data Science intern at Perceptive Automata, a startup in the autonomous driving space based in Boston.
Before that, I received my Bachelor of Science in Applied Mathematics with a minor in Computer Science from Columbia University in 2017. During my time in college, I held a variety of software engineering internships at DecisionQ, Morgan Stanley, and PDT Partners.
This webpage hosts various data science and machine learning projects I've worked on.
Reach out!
As data science is an inherently interdisciplinary field, I love hearing about interesting problems that other people are working on. Feel free to get in touch via LinkedIn, or follow me on Twitter below!@justinsylee