Tingting Liu
Research Fellow at The National Institute on Drug Abuse (NIDA)
White Marsh, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolTingting Liu is a research-focused data scientist and psychologist with eight years of experience designing human-centered experiments and translating quantitative and qualitative findings into actionable strategies for public health and wellbeing. With a PhD in Cognition and Cognitive Neuroscience and a background in computer science, she blends rigorous survey and experiment design, advanced NLP and statistical modeling (R, SQL, lme4, tidyverse) to predict emotions, mental illness, and behavioral outcomes. She has driven interdisciplinary projects at NIH, Penn, and NIDA—earning an NIH FARE award—and builds practical digital-health tools from mobile sensing, EMA, and keystroke data. An active contributor to NLP tooling (commits to Alibaba’s EasyNLP, including API development and text-to-image modules), she pairs open-source engineering chops with deep domain expertise in emotion and consumer decision prediction. Known for training and leading teams, she also crafts novel psychological assessments that bridge academic insight and policy-ready recommendations.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Computer Science, Bachelor of Engineering (B.Eng.), Computer Science at Sichuan UniversityDoctor of Philosophy (Ph.D.), Psychology, Cognition and Cognitive Neuroscience, Doctor of Philosophy (Ph.D.), Psychology, Cognition and Cognitive Neuroscience at University of MichiganMaster of Education (M.Ed.), Psychology, Master of Education (M.Ed.), Psychology at Renmin University of China
Github Skills (7)
pytorch10
machine-learning10
nlp10
pre-trained-model9
transformers9
deep-learning8
bert6
Programming languages (2)
Github contributions (5)
alibaba/EasyNLP
Apr 2022 - Aug 2022
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 22 commits, 19 PRs in 4 months
Contributions summary:Tingting's commits primarily focus on the development of a new API (`api.py`) for the EasyNLP toolkit, which includes the definition of various application-specific classes, evaluators, and predictors, likely related to different NLP tasks. Further commits involve commenting on or modifying the `trainer.py` file and related scripts. Additional commits introduce a new module related to text-to-image generation.
knowledge-distillationbertfewshot-learningimage-classificationnatural-language-processing
ECNUdase/DASEAlg_2020_Fall
Sep 2020 - Sep 2020
Contributions:13 commits, 12 pushes, 1 branch in 4 days
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