Timothy Sudijono
Graduate Teaching Assistant
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolTimothy Sudijono is a Stanford PhD student in Statistics and a Graduate Teaching Assistant specializing in probability theory and time series, with eight years of quantitative experience spanning academia, hedge funds, and industry experimentation. He combines rigorous theoretical interests in probability and causal inference with practical experience implementing long-short equity strategies at AQR and building experimentation platforms during an internship at Netflix. Based in Palo Alto, he brings both classroom pedagogy and real-world analytics to research problems, translating theory into reproducible practice. Notably, his background bridges high-frequency portfolio implementation and modern causal methods, positioning him to tackle statistical problems with an eye toward deployable solutions.
8 years of coding experience
Bachelor of Science - BS, Applied Mathematics with Honors, Phi Beta Kappa, Bachelor of Science - BS, Applied Mathematics with Honors, Phi Beta Kappa at Brown UniversityJohn Jay Senior High SchoolDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Stanford University
French, English
Github Skills (1)
periodicity5
Programming languages (1)
Github contributions (5)
tsudijon/dynamic_networks
Sep 2020 - Jun 2021
Research on analyzing periodicity in dynamic networks, started at ICERM 2017.
Contributions:4 PRs, 19 pushes, 1 branch in 8 months
analyzingdynamic-networksperiodicity
tsudijon/hilo-live
Apr 2020 - Jul 2020
Online implementation of Hi-Lo
Contributions:2 PRs, 16 pushes, 3 branches in 3 months
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