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= Industry Experience

- Research Scientist in Machine Learning, Facebook, May 2018 - Now


- Machine Learning Engineer, PhD Intern, News Feed Science team, Facebook,  Sep 2017 - Dec 2017.


- Quantitative Researcher Intern, Citadel LLC, May 2017 - Jul 2017.


- Data Scientist Intern, WW Business Insight team, Apple Inc, May 2016 - Aug 2016.


= Academic Experience

- PC member/Reviewer for the following conference:
-- International Conference on Machine Learning (ICML)
-- Conference on Neural Information Processing Systems (NeurIPS)
-- The Conference on Uncertainty in Artificial Intelligence (UAI)
-- AAAI Conference on Artificial Intelligence (AAAI)

- Associate Editor for the following journals:
-- Journal of Causal Inference
-- The International Journal of Biostatistics

- Reviewer for the following journals:
-- Journal of the American Statistical Association
-- Biometrics
-- Statistics in Medicine
-- Journal of the Royal Statistical Society
-- Statistical Method in Medical Research
-- Canadian Journal of Statistics
-- Journal of Applied Statistics
-- Journal of the Franklin Institute


- Research Assistant, [http://www.drugepi.org/ Harvard Medical School and Brigham & Women's Hospital], Aug 2015 - May 2018

- Statistical Consultant, [http://dlab.berkeley.edu/people/cheng-ju D-lab], University of California, Berkeley, Jan 2015 - Aug 2015.

= Teaching Experience

I have worked as a final exam grader for the following courses at Berkeley:

- Spring 2016: CS188, Artificial Intelligence

I have worked as a GSI (Graduate Student Instructor) for the following courses at Berkeley:

- Spring 2015: PH290, Special Topic: Big Data in Public Health
- Fall 2014: STAT20, Introduction to Probability and Statistics

= Honors & Awards

- Russell M. Grossman Award, University of California, 2017-2018

- Mayhew & Helen Derryberry Fellowship, University of California, 2017-2018

- Taylor Award Scholarship, University of California, 2015-2016

- Travel Grant for Joint Statistical Meetings, University of California, Berkeley, 2015

- Departmental Stipend in recognition of scholastic achievements, Division of Biostatistics, University of California, 2015

= Competition

I play Kaggle in my spare time. I am a competition master at Kaggle, with two gold and two silver medals.

- Avito Online Sale Demand Prediction: *Gold Medal* (10/1917, top 0.5%)

- TalkingData Fraud Click Detection: *Gold Medal* (12/3967, top 0.5%)

- Google Jigsaw Toxic Comments Detection: Silver Medal (84/4551, top 2%)

- Human Protein Atlas Image Classification: Silver Medal (39/2172, top 2%)

I also participated in ACM RecSys challenge 2018:

- ACM RecSys Challenge 2018: 6-th place (6/112))