Vasudha Varadarajan
  • Bio
  • Publications
  • Awards
  • Experience
  • Talks
  • Media
  • Teaching and Mentoring
  • Media
    • National High School Journal of Science (NHSJS) on Authorship and Originality in the Age of AI
    • Stony Brook Medicine covers our Study on Distinguishing between Human and AI-Generated Content
  • Publications
    • Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm
    • Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations
    • ISCA: A Framework for Interview-Style Conversational Agents
    • Linking Language-based Distortion Detection to Mental Health Outcomes
    • MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
    • Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits
    • The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots
    • Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization
    • Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
    • Upcoming Talk @ CRA Grad Cohort, Denver 2025 on Capturing Human Cognitive Styles with Language -- Towards an Experimental Evaluation Paradigm.
    • ALBA: Adaptive Language-Based Assessments for Mental Health
    • Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk
    • Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis
    • From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
    • \" I Slept Like a Baby\": Using Human Traits To Characterize Deceptive ChatGPT and Human Text.
    • Discourse-level representations can improve prediction of degree of anxiety
    • Transfer and active learning for dissonance detection: Addressing the rare-class challenge
    • Detecting dissonant stance in social media: The role of topic exposure
    • WWBP-SQT-lite: Multi-level models and difference embeddings for moments of change identification in mental health forums
    • Discourse relation embeddings: Representing the relations between discourse segments in social media
    • V-formation via model predictive control
  • Blog
    • High School Research Mentorship
    • Research Mentorship
    • Reviewing for NLP and CSS conferences.
    • Scientist-in-Residence Program (SiR) with New York Academy of Sciences
    • 1000 Girls, 1000 Futures
  • Recent & Upcoming Talks
    • Talk @ CRA Grad Cohort, Denver 2025 on Capturing Human Cognitive Styles with Language
    • Invited Talk @ The Alan Turing Institute on Adaptive Language-Based Assessments
    • Tutorial @ NAACL 2024: From Text to Context:Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
    • Talk @ ACL 2023 Best Paper Awards on transfer and active learning for dissonance detection
    • Talk @ DARPA Forward, Fort Collins 2022 on detecting dissonance on social media
  • Projects
    • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Awards
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Pandas

Oct 26, 2023 · 1 min read
Go to Project Site

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on Oct 26, 2023
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Vasudha
Authors
Vasudha
Postdoc Researcher

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© 2025 Vasudha Varadarajan. This work is licensed under CC BY NC ND 4.0

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