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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Mon, 03 Nov 2025 03:44:03 GMT access-control-allow-origin: * etag: W/"69082503-1b4e" expires: Mon, 29 Dec 2025 15:09:29 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 473D:1387E:8EA10A:A026EE:6952974F accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 14:59:29 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210087-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767020370.550519,VS0,VE230 vary: Accept-Encoding x-fastly-request-id: 89c96e2dcf051686eb8fbc9d2cd08ec7d42a87b0 content-length: 2732 About Me | Steven (Siwei) Ye

Steven (Siwei) Ye

About Me

I am a Research Data Scientist at Google. I obtained my Ph.D. in Statistics from the University of California, Los Angeles, in March 2025, under the supervision of Dr. Oscar Hernan Madrid Padilla.

Before that, I graduated with Highest Distinction from the University of California, Berkeley, with a double degree in Applied Mathematics and Statistics. Throughout my undergraduate years, I had the privilege of collaborating with Dr. Carl Boettiger as a research intern at rOpenSci and with Dr. Philip B. Stark as a research assistant.

My industry experience includes internships across leading organizations: Data Science & Statistical Research Team at Nokia Bell Labs (June–December 2022), Payments Data Science and Engineering Team at Netflix (June–September 2023), and AIM-DS Team at Google (June–September 2024).

Research

My doctoral research focused on non-parametric statistics and causal inference, with applications in computational biology, social science, and economics.

Publications and Papers

S. Ye and O.H.M. Padilla. Non-parametric Quantile Regression via the K-NN Fused Lasso. PDF. Code. Journal of Machine Learning Research, Vol. 22, No. 111, 1-38, 2021.

S. Ye, Y. Chen, and O.H.M. Padilla. 2D Score Based Estimation of Heterogeneous Treatment Effects. PDF. Code. Journal of Causal Inference, Vol. 11, No. 1, 1-26, 2023.

A.K. Glazer, H. Luo, S. Devgon, C. Wang, X. Yao, S. Ye, F. McQuarrie, Z. Li, A. Palma, Q. Wan, W. Gu, A. Sen, Z. Wang, G.D. O’Connell, P.B. Stark. Look Who’s Talking: Gender Differences in Academic Job Talks. PDF. ScienceOpen Research, 2023.

S. Ye, Y. Chen, and O.H.M. Padilla. Causal Effect Estimation via Fused Lasso over Graph. Under Review, 2024+.

S. Ye. Locally Adaptive Statistical Models with Applications in Quantile Regression and Causal Inference. Dissertation, 2025.

Teaching

Teaching Assistant

UCLA

STAT 10: Introduction to Statistical Reasoning (Fall 2020, Winter 2021, Spring 2021, Fall 2021, Winter 2022)
STAT 13: Introduction to Statistical Methods for Life and Health Sciences (Spring 2022)
STAT 102C: Introduction to Monte Carlo Methods (Summer 2020)

Reader/Grader

UC Berkeley

STAT 134: Concepts of Probability (Fall 2016, Spring 2017)
STAT 151A: Linear Modelling (Spring 2018)
STAT 153: Introduction to Time Series (Fall 2018)
STAT 155: Game Theory (Fall 2017, Spring 2019)
MATH 113: Introduction to Abstract Algebra (Spring 2018)
MATH 170: Mathematical Methods for Optimization (Spring 2019)

UCLA

STAT 10: Introduction to Statistical Reasoning (Fall 2019, Winter 2020, Spring 2020)
STAT 13: Introduction to Statistical Methods for Life and Health Sciences (Fall 2023, Winter 2024)
STAT 15: Introduction to Data Science (Fall 2022)
STAT 101B: Introduction to Design and Analysis of Experiment (Spring 2023)

Personal

I love travel and food & drink! Click to view my Travel and Restaurant & Bar photography gallery!

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