Dec 2024 - Present
AeroLeads people directory · profile
Xingchen Yu, Ph.D. Email & Phone Number
Machine Learning Engineer @ TikTok
at
TikTok
1 work email found
@ucsc.edu
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✓ Verified May 2026
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Current company
Role
Machine Learning Engineer @ TikTok
Location
San Jose, California, United States
Who is Xingchen Yu, Ph.D.? Overview
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Quick answer
Xingchen Yu, Ph.D. is listed as Machine Learning Engineer @ TikTok at TikTok, based in San Jose, California, United States. AeroLeads shows a work email signal at ucsc.edu and a matched LinkedIn profile for Xingchen Yu, Ph.D..
Xingchen Yu, Ph.D. previously worked as Senior Machine Learning Engineer at Tiktok and Data Scientist Statistician at Climate. Xingchen Yu, Ph.D. holds Doctor Of Philosophy (Ph.D.), Statistical Science from University Of California, Santa Cruz.
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Email format at TikTok
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*@ucsc.edu
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Profile bio
About Xingchen Yu, Ph.D.
Senior MLE @TikTokPreviously, I'm a seasoned Data Scientist at Climate (part of Bayer DFS) and have been awarded BBOY (Bayer Better Because of You) four times by manager and teammates during my short tenure. As an enthusiastic and effective presenter, I represented the team to deliver yearly highlights in year-end modeling all-hands in both 2022 and 2023. I combine a Ph.D. in Statistical Science with industry experience in machine learning and deep learning, which leads to:- Significant modeling improvements for seed recommendations and successful program phase advancement—reducing feature size by 80%, cutting model training time by 99.9%, and boosting performance metrics by 20%.- Outperformed all candidate models for next-gen Seed Advisor benchmarking by training and calibrating with heterogeneous Trial and Grower data, navigating data shifts to achieve top metrics across the board- Successful establishment of a comprehensive benchmarking framework for evaluating future Seed Advisor recommendation models in FieldView.- Pioneering our team's first MLOps pipeline, significantly enhancing efficiency and reliability in package deployment.- Resolving the instability and overfitting issues observed in the XGBoost model used in the EMEA Density model via careful hyperparameter tuning.My expertise extends to Bayesian hierarchical models for probabilistic predictions, creating aggregated metrics for recommendation systems, as well as leveraging interpretability frameworks such as SHAP to deliver interpretable recommendations. These contributions have been crucial in advancing project milestones and shaping product development strategies.
Listed skills include Machine Learning, Unsupervised Learning, R, Topic Modeling, and 8 others.
Current workplace
Xingchen Yu, Ph.D.'s current company
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9 roles
Xingchen Yu, Ph.D. work experience
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Data Scientist Statistician
Highlight: Four time BBOY (Bayer Better of You) winnerLed the next-gen modeling initiative for FieldView Seed Advisor, applying traditional machine learning, learning-to-rank, and deep tabular models to drive personalized and explainable corn product recommendations.Achieved a 20% improvement in key performance metrics and advanced the project to the next.
Jul 2022 - Jun 2024
Data Scientist
Conducted rigorous interpretable statistical variable selection, achieving an 80% reduction in feature size and reducing model training time by 99.9%, significantly enhancing efficiency.Built Bayesian hierarchical models using Stan for probabilistic predictions, supporting informed downstream decision-making processes.Developed and integrated a key.
Mar 2021 - Jul 2022
Teaching Assistant
Led weekly discussion sections for over hundreds of students to clarify course material.Planned and taught probability theory to class of 200 students.
Jan 2016 - May 2020
Machine Learning Intern
Mentor: Jianchao YangResearched on Bayesian shrinkage priors on neural networks for compression and uncertainty quantification.Compared Gaussian, matrix Gaussian, Horseshoe prior, Laplace prior in terms of shrinkage performance for neural networks.Concluded current Bayesian Neural Network framework not suitable for large scale modeling
Jun 2018 - Sep 2018
Graduate Teaching Assistant
R, SAS software and Lean Six Sigma methods
Aug 2014 - May 2015
Trade Analyst
Designed and standardized competitor analysis of various trade lanes for executives and sales department.Formulated integer programming models to maximize marginal profit for high/heavy deck of the vessels
Aug 2012 - Apr 2013
Manufacturing Engineering Intern
Performed multiple time studies using MOST on GMT900 seat adjuster lines & future K2XX prototype seats assembly station. Also calculated related efficiency & utilization to identify area of improvement Conducted on-site Lean Workshop in CSG Hammond, IN using lean techniques and reduced redundant labor content by 33.33% Performed work sampling studies in.
May 2011 - Aug 2011
Manufacturing Engineering Intern
Compiled and updated critical facility documents before launch date including detailed purchase plan
Jun 2010 - Aug 2010
3 education records
Xingchen Yu, Ph.D. education
Doctor Of Philosophy (Ph.D.), Statistical Science
University Of California, Santa Cruz
Master'S Degree, Statistics
Rochester Institute Of Technology
Bachelor Of Science (B.S.), Industrial Engineering
Penn State University
FAQ
Frequently asked questions about Xingchen Yu, Ph.D.
Quick answers generated from the profile data available on this page.
What company does Xingchen Yu, Ph.D. work for?
Xingchen Yu, Ph.D. works for TikTok.
What is Xingchen Yu, Ph.D.'s role at TikTok?
Xingchen Yu, Ph.D. is listed as Machine Learning Engineer @ TikTok at TikTok.
What is Xingchen Yu, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @ucsc.edu for Xingchen Yu, Ph.D. at TikTok.
Where is Xingchen Yu, Ph.D. based?
Xingchen Yu, Ph.D. is based in San Jose, California, United States while working with TikTok.
What companies has Xingchen Yu, Ph.D. worked for?
Xingchen Yu, Ph.D. has worked for Tiktok, Climate, University Of California, Santa Cruz, Bytedance, and Rochester Institute Of Technology.
How can I contact Xingchen Yu, Ph.D.?
You can use AeroLeads to view verified contact signals for Xingchen Yu, Ph.D. at TikTok, including work email, phone, and LinkedIn data when available.
What schools did Xingchen Yu, Ph.D. attend?
Xingchen Yu, Ph.D. holds Doctor Of Philosophy (Ph.D.), Statistical Science from University Of California, Santa Cruz.
What skills is Xingchen Yu, Ph.D. known for?
Xingchen Yu, Ph.D. is listed with skills including Machine Learning, Unsupervised Learning, R, Topic Modeling, Sql, Scala, Lean Manufacturing, and Sas Programming.
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