Wenjing Zheng — Director of Engineering
10+ years of experience using causal machine-learning methods to solve real-world problems with cross-disciplinary teams, developing novel methodologies, and mentoring fellow data scientists. As a causal inference data science lead, I collaborate closely with business stakeholders and cross-functional teams to identify opportunities to improve our product and to inform our business strategies. My technical expertise lies at the intersection of causal inference, machine learning, and semi-parametric statistics. Combining tools from these 3 areas allows us to tackle complex causal problems with the precision and flexibility of ML algos and the rigor of statistical decision frameworks. I work with my data scientist peers to expand and scale our causal machine learning capabilities and toolkits for AB testing, quasi-experiments and observational causal inference. causal Inference | machine learning | statistics | experimentation | AB testing | adaptive experiments | structural models | causal models | causal mediation | personalized policies | R | SQL | measurement | project management | collaboration | business decision making | method development | mentoring
Stackforce AI infers this person is a Causal Inference and Machine Learning expert in the SaaS industry.
Experience: 9 yrs 8 mos
Skills
- Causal Inference
- Machine Learning
- Experimentation
- Metrics Understanding
- Ab Testing
- Targeted Machine Learning
- Adaptive Experimentation
Career Highlights
- 10+ years of experience in causal machine learning.
- Led data science initiatives at Roblox and Netflix.
- Mentored junior data scientists into leadership roles.
Work Experience
Roblox
Director of Data Science, Ecosystems Research and Learning Platforms (7 mos)
Senior Data Science Manager, Ecosystem and Learning Platforms (1 yr 4 mos)
Principal Data Scientist - Tech Lead for Ecosystem data science (1 yr)
Netflix
Staff (L6) Data Scientist Experimentation and causal inference (11 mos)
Senior Experimentation and Causal Inference Data Scientist (5 yrs)
University of California, Berkeley
Visiting Assistant Professor, Biostatistics (1 yr 5 mos)
UCSF Center for AIDS Prevention Studies (CAPS) & Prevention Research Center (PRC)
Postdoctoral Research Fellow (1 yr 5 mos)
University of California, Berkeley
Graduate Student Researcher, Biostatistics (3 yrs 11 mos)
Education
Doctor of Philosophy (Ph.D.) at University of California, Berkeley
Doctor of Philosophy (Ph.D.) at Université Paris Cité
Master of Arts (M.A.) at University of California, Berkeley
