Posts by Collection

Language adaptations of mental health interventions: User interaction comparisons with an AI-enabled conversational agent (Wysa) in English and Spanish

Published in Digital Health, 2024

This paper is about the effectiveness of cultural adaptation of Digital Mental Health Interventions (DMHI) for diverse populations. Find the paper here. My role: primary author; conducted all analyses.

Recommended citation: Dinesh DN, Rao MN, Sinha C. Language adaptations of mental health interventions: User interaction comparisons with an AI-enabled conversational agent (Wysa) in English and Spanish. DIGITAL HEALTH. 2024;10. doi:10.1177/20552076241255616

Examining a Brief Web and Longitudinal App-Based Intervention [Wysa] for Mental Health Support in Singapore during the COVID-19 Pandemic: Mixed-Methods Retrospective Observational Study

Published in Frontiers in Digital Health, 2024

This paper dissects the impact of Wysa as a Mental Health support tool during the COVID-19 pandemic. It involves a mixed-method approach that utilizes regression analyses and qualitative coding. Find the paper here. My role: conducted all quantitative and qualitative analyses, including analyses conceptualization.

Recommended citation: Sinha C, Dinesh DN, Heaukulani CK, Phang YS. Examining a Brief Web and Longitudinal App-Based Intervention [Wysa] for Mental Health Support in Singapore during the COVID-19 Pandemic: Mixed-Methods Retrospective Observational Study. Frontiers in Digital Health. 2024;6. doi: 10.3389/fdgth.2024.1443598

Exploring the Role of App Features in Providing Continuity of Care to Users on a Digital Mental Health Platform (Wysa): Retrospective Mixed Methods Observational Study

Published in JMIR Formative Research, 2026

This paper dissects the impact of Wysa as a Mental Health support tool: how it helps continue therapy-based practices between therapist-client sessions, and how it can encourage continued attendance to therapy sessions and continued reflection outside of them. It involves a mixed-method approach that utilizes inferential statistics, regression analyses and qualitative coding. Find the paper here. My role: conducted all data cleaning and descriptive and inferential analyses, including analyses conceptualization.

Recommended citation: Sinha C, Thakkar R, Meheli S, Dinesh D. Exploring the Role of App Features in Providing Continuity of Care to Users on a Digital Mental Health Platform (Wysa): Retrospective Mixed Methods Observational Study. JMIR Form Res 2026;10:e73033. URL: https://formative.jmir.org/2026/1/e73033. DOI: 10.2196/73033

Investigating the impact of prompt engineering on ChatGPT’s ability to generate and evaluate pharmaceutical medicines advice

Submitted, under revision after peer review, Research in Social and Administrative Pharmacy

This manuscript compares LLM performance to pharmacists, nurses, and practitioners. My role: contributed to the background, introduction, and results sections.

Recommended citation: Haupt MR, Yang L, Dinesh D, Pan E, Huang X, Ashraf AR, Domián BM, Fittler A, Vida RG, Mackey TK. Investigating the impact of prompt engineering on ChatGPT's ability to generate and evaluate pharmaceutical medicines advice. Research in Social and Administrative Pharmacy. Submitted; under revision after peer review.

University of British Columbia

September 2019 - September 2022, University of British Columbia

Undergraduate research across four labs, including an honours thesis on COVID-19 vaccine hesitancy and conspiracy beliefs.

Wysa

September 2022 - July 2024, Wysa Inc., Bangalore

Clinical Researcher generating real-world evidence for an AI conversational agent for mental health support, including peer-reviewed papers and RCT work.

Columbia University

September 2024 - May 2025, Columbia University

Graduate research on an LLM-powered mental health tool, bots in political fundraising, and bias in AI grading.

Cognitive Media Lab, UC San Diego

January 2025 - Present, University of California, San Diego

Research Associate studying misinformation engagement on social media, source trustworthiness, and LLM performance. Includes my master’s thesis.

Haupt Data Analytics & Consulting

June 2025 - Present, Haupt Data Analytics & Consulting

Research Associate running A/B tests, large-scale text analysis, and LLM evaluations.

Columbia Business School

June 2025 - August 2025, Columbia Business School

Data Intern who segmented students into career pathways based on their elective selections.

Indian Institute of Science (IISc)

May 2026 - Present, Centre for Neuroscience, Indian Institute of Science

Research Assistant studying emotion-cognition interactions in decision-making using computational modeling.

Teaching Assistant

Teaching, University of British Columbia, 2020

Undergraduate Teaching Assistant

Worked as a Teaching Assistant for undergraduate psychology, statistics, and data analysis courses. Hosted review sessions. Graded assignments. Invigilated examinations. Helped students with subject matter during office hours: statistics and basic psychology concepts. Taught research methods and basic psychological and research concepts.

Tutor

Undergraduate tutor, University of British Columbia, 2021

Math and Science Tutor

January 2022 - April 2022

NLP Teaching Assistant

Teaching, Columbia University, 2025

Graduate Teaching Assistant: Natural Language Processing

Worked as a Teaching Assistant for “Natural Language Processing” in Columbia’s Graduate School for the Quantitative Methods in Social Sciences Program. The course included hands-on learning of topics like: basics of Python, text tokenization, bag-of-words, NLTK, Stemming, lemmatization, Regex, web scraping, Document Similarity, text clustering, Word2Vec, TF-IDF, Speech tagging, Word Embeddings, Topical Extraction, Latent Dirichlet Allocation, Lexicons, and Sentiment Analysis on text through Machine Learning.

ADS Teaching Assistant

Teaching, Columbia University, 2026

Graduate Teaching Assistant: Applied Data Science

Worked as a Teaching Assistant for “Applied Data Science” in Columbia’s Graduate School for the Quantitative Methods in Social Sciences Program. The course included teaching Databricks, Git, GitHub, AWS, and industry data science practices, along with data pipeline implementation leveraging MLflow.