Experience

 
 
 
 
 

Ph.D. Researcher & Analyst

University of California, Santa Barbara

Sep 2021 – Present California
  • Designed and implemented multiple behavioral and neuroimaging experiments applying psychological theories to investigate social cognition and participants’ lived experiences
  • Led a neuroimaging study examining stereotype exposure and reward processing in Hispanic and Latino populations; updated protocols and conducted fMRI sessions
  • Directed and analyzed a large-scale social media sentiment study analyzing 12M+ tweets from LGBTQ+ and non-LGBTQ+ users surrounding U.S. Supreme Court rulings on same-sex marriage
  • Applied NLP tools (e.g., BERT) and custom Python scripts to extract sentiment trends; conducted factorial and multivariate analyses to identify significant emotional differences across groups
  • Utilized statistical techniques including A/B testing, ANOVA, multiple regression, structural equation modeling, latent class analysis, and text mining to derive actionable insights from large datasets
  • Produced 3 research manuscripts, delivered 5 invited talks, and presented findings at 6 academic conferences to interdisciplinary audiences
  • Hired, trained, and mentored research teams of up to 10 assistants to support data collection, analysis, and lab operations across multiple concurrent projects

  RU Logo

 
 
 
 
 

Lab Instructor

University of California, Santa Barbara

Jan 2021 – Present California
  • Trained students in scientific research design, data collection, data analysis, and scientific writing
  • Taught statistics, A/B testing, correlation analysis, analysis of variance, regression analysis, and survey design

  RU Logo

 
 
 
 
 

Graduate Researcher & Programmer

New York University

Sep 2019 – May 2021 New York
  • Designed and executed a computational study to evaluate potential racial bias in facial recognition systems, applying expertise in experimental design and statistical analysis
  • Evaluated and fine-tuned convolutional neural networks (ResNet) using diverse public datasets, identifying performance disparities across demographic groups
  • Developed a Siamese network to measure facial similarity, improving accuracy in face comparison tasks
  • Created 200+ controlled morphed face stimuli using WebMorph to systematically test algorithm performance
  • Automated image preprocessing with Python scripts, reducing facial area isolation time for 200+ images from hours to under 2 minutes
  • Presented findings on algorithmic bias at NYU’s 24th Annual Master’s Psychology Research Conference, earning first place for clear communication of technical results to a broad audience
  • Secured funding through a competitive Graduate Student Research Award by crafting a compelling research proposal aligned with societal and technological impact

  RU Logo

 
 
 
 
 

Post Bacc Researcher & Data Analyst

Nanjing University

Jan 2019 – Aug 2019 Nanjing, China
  • Designed, programmed, and conducted behavioral and eye-tracking studies to examine how visual cues influence perception, applying advanced experimental design skills
  • Collaborated on EEG experiments to investigate how integration of primary and secondary reward cues affects executive function, contributing to multimodal research methods
  • Developed experiments in E-Prime and Experiment Builder, ensuring high data quality and participant engagement
  • Translated and culturally adapted five psychological questionnaires from English to Chinese for cross-cultural validity
  • Built and maintained the lab’s minimalist-style website using open-source platforms (GitHub Pages & Hugo), improving accessibility and usability for research participants and collaborators

  RU Logo

 
 
 
 
 

Undergrad Research Assistant

Rutgers University

Jan 2016 – May 2017 New Jersey
  • Collected and managed participant data for multiple studies on perception, identity, and attitude change, ensuring data accuracy and research integrity
  • Coordinated in-person experimental sessions, including role-based interactions to maintain study realism and participant engagement
  • Monitored attendance and documented unexpected events to support reliable analysis and study reproducibility

  RU Logo