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Hi! This is Mark, a research fellow at Stanford Graduate School of Business. My work focus on Quant Marketing and Operations, Information & Technology.
Before coming to Stanford, I studied Statistics and Computer Science at UIUC, then obtained a Master’s degree in Machine Learning & Data Science from Northwestern University.
Feel free to reach out to me via [email protected] or https://www.linkedin.com/in/jialong-mark-li-b3b83a203/.
Educations: UIUC (B.S.) → Northwestern (M.S.) → Stanford (Pre-doc RF)
UG GPA: 3.84 | Grad GPA: 3.83
CS/ML Coursework: Advanced Deep Learning (PhD), Applied Machine Learning, NLP, Data Mining, Cloud Engineering, Database and Data warehouse, Big Data Systems
STAT Coursework: Statistics and Probability I/II, Bayesian Statistics, Statistical Modeling I/II, Predictive Analysis I/II, Unsupervised Learning
MATH Coursework: Real Analysis, Differential Equations
ECON Coursework: Econometric Methods I/II (PhD), Structural Econometrics (PhD)
Audited Coursework: Machine Learning System, Marketing Models
Sports: Track and field 🥈, Badminton 🏸, Tennis 🎾, Soccer ⚽, Driving 🏎️
Music: Rock 🎸, Jazz 🎺, Symphony 🎻.
YouTubers: STATQuest, 3Blue1Brown, Umar Jamil, Yannic Kilcher, Shusen Wang, Andrej Karpathy, Jordan Boyd-Graber, Pretty Much Physics
Blog Writer: Andy Jones, Lilian Weng, Jake Tae, Michael Betancourt, Ebrahim Pichka, Lena Voita, Matt Might, John Schulman
Websites: statlect, online.stat.psu.edu