Education
PhD in Psychology
University of California, Berkeley, Berkeley, CA (2022 - Present)
- Area: Cognition with a Designated Emphasis in Cogntivie Science
- Research Focus: Computational models of language in clinical science
- Advisor: Dr. Bill Thompson (Cognition/ Cognitive Science)
MS in Clinical Research Methods
Fordham University, New York, NY (2020 - 2022)
- Research Focus: Quantitative models of borderline personality disorder symptomology
- Thesis: Normal and Abnormal Personality Correlates of Distress Tolerance
- Advisor: Dr. Christopher Conway (Clinical Psychology)
BA in Political Science
New York University, New York, NY (2013 (Spring) - 2017)
- Minors: Computer Sicence, Child & Adolescent Mental Health
- Honors: Cum Laude, Founder's Day Award, Dean's List
Skills
- LLMs & NLP for mental health – Applied transformer models (BERT, GPT) for sentiment and semantic analysis, prediction, and AI bias in mental health
- Machine learning – Imbalanced data techniques, deep learning, regression, decision trees, random forests, clustering
- Statistical modeling – Predictive analysis, structural equation modeling, longitudinal & time series analyses, multilevel modeling, hypothesis testing
- Behavioral science – Over 11 years of clinical and research experience on severe mental illnesses, including internalizing (suicide-related concerns) and externalizing (personality disorders, substance use issues, aggression) diagnoses
- Python – Advanced level: data visualization, core data science and machine learning packages (scikit-learn, seaborn, pandas, NumPy, sklearn, matplotlib), NLP and other LLM analyses
- R/RStudio – Advanced level: experience in exploratory and statistical analysis, visualization, and application building
- Project Management – 8 years of experience leading multidisciplinary teams (4–6 people) including clinicians, clinical scientists, computer scientists, and statisticians
Research Experience
Research Scientist
Computational Psychology & Well-being Lab , Stanford University (April 2025 – Present)
Graduate Student Researcher
Computational Cognitive Science Lab, UC Berkeley (Jan 2023 – Present)
- Lead a multidisciplinary team designing and implementing LLM-based tools.
- Project leader and primary data analyst for computational language modeling projects (e.g., substance use and misuse).
- Conducted research applying large language models (LLMs) to predict and understand mental health concepts.
- Collaborator on cognitive experiments exploring human social behavior.
Graduate Student Researcher
Clinical Research on Externalizing and Addiction Mechanisms Lab, UC Berkeley (Jul 2022 – May 2025)
- Lead data analyst for computational and statistical modeling using ML, longitudinal multilevel modeling, Bayesian inference.
- Led a team of 4 data/computer science students building applications and statistical pipelines.
- Collaborated on ERP/EEG, time series, and biometric studies.
- Developed AI tools to understand mental health etiology, progression, and treatment.
Graduate Research Assistant
Cham Lab, Fordham University (Aug 2020 – Jun 2022)
- Led organization and analysis of 10 years of department admissions and progress data.
- Developed internal proposal for recruitment improvements.
Graduate Research Assistant
Bronx Personality Lab, Fordham University (Aug 2020 – Jun 2022)
- Lead analyst for 4 major projects involving ML, multilevel modeling, Bayesian stats, and time series analysis.
- Managed 6 undergraduate RAs and a team of 4 graduate students.
- Collaborated on 3 papers, 9 posters, 1 international conference talk.
- Led analysis for NIMH R21 pilot data ($251k); wrote 54-page thesis (Laura Bassi Honorable Mention 2020).
Clinical Research Coordinator
Mood and Personality Disorders Lab, Icahn School of Medicine at Mount Sinai (May 2017 – Jun 2020)
- Coordinated 3 clinical trials (NIMH R01s, each $1.25M).
- Managed behavioral, fMRI, physiological, and language modeling datasets.
- Coded E-prime paradigms and trained participants.
- Collaborated on 5 posters, 3 papers, and 1 book chapter.
Teaching Experience
Graduate Student Instructor
COGSCI C131 – Computational Models in Cognition, UC Berkeley (Jan 2025 – May 2025)
- Taught 50 students Python-based cognitive modeling techniques.
- Developed 9 lectures and 3 assignments.
- Led 2-hour weekly lectures and offered 2+ hours of weekly office hours.
- Provided 1:1 support for students completing honors theses.
Graduate Student Instructor
PSYC 102 – Research Methods in Psychology, UC Berkeley (Aug – Dec 2022 & 2024)
- Taught 50 honors students R-based statistical/data science techniques.
- Designed 9 lectures, 9 assignments, and 2 exams.
- Provided instruction, support, and thesis mentorship.
D-Lab Data Science Fellow
University of California, Berkeley (Aug 2023 – Aug 2024)
- Taught workshops for 10–65 participants on R, Python, NLP, and geospatial analysis.
- Led weekly seminars on advanced statistical and computational topics.
Work Experience
Quantitative Data Scientist (Contract)
TaskUs – Wellness & Resiliency (Sep 2022 – Oct 2024)
- Lead data scientist on quantitative wellness studies for content moderators.
- Conducted psychometric analysis and shared insights with cross-functional teams.
Download Full CV
For a detailed version of my curriculum vitae, please download the PDF below.