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Angela Radulescu

Angela Radulescu

· Assistant Professor

New York University · Center for Data Science

Active 1967–2026

h-index14
Citations1.3k
Papers5224 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Angela Radulescu is an Assistant Professor at the Center for Computational Psychiatry at the Icahn School of Medicine at Mount Sinai. Her research focuses on the intersection of data science and psychiatry, contributing to the development of computational models to better understand mental health disorders. She is part of a community of faculty fellows at the NYU Center for Data Science, which supports research across academia, industry, and government, emphasizing interdisciplinary collaboration and innovative applications of data science.

Research topics

  • Artificial Intelligence
  • Computer Science
  • Cognitive science
  • Psychology
  • Cognitive psychology
  • Knowledge management
  • Neuroscience
  • Zoology
  • Epistemology
  • Internal medicine

Selected publications

  • Modeling human eye movements during immersive visual search

    bioRxiv (Cold Spring Harbor Laboratory) · 2022-12-01 · 7 citations

    preprintOpen access1st authorCorresponding

    Abstract The nature of eye movements during visual search has been widely studied in psychology and neuroscience. Virtual reality (VR) paradigms provide an opportunity to test whether computational models of search can predict naturalistic search behavior. However, existing ideal observer models are constrained by strong assumptions about the structure of the world, rendering them impractical for modeling the complexity of environments that can be studied in VR. To address these limitations, we…

  • Name that state: How language affects human reinforcement learning

    2022-07-25 · 3 citations

    preprintOpen access1st authorCorresponding

    We describe two experiments designed to test whether the ease with which people can label features of the environment influences human reinforcement learning. The first experiment presents evidence that people are more efficient at learning to discern relevant features of a task when candidate features are easier to name. The second experiment shows that learning what action to take in a given state is easier when states have more readily nameable verbal labels, an effect that was especially pro…

  • PMON81 A Case of Hypophysitis Associated With SARS-CoV2 Vaccination

    Journal of the Endocrine Society · 2022-11-01 · 1 citations

    articleOpen access

    Abstract Objective Although SARS-CoV2 vaccines have been developed with multiple novel technologies and rapidly disseminated worldwide, the full profile of adverse effects has not been known. Recently, there are sporadic but increasing reports of endocrinopathies in relation to SARS-CoV2 vaccination. Here, we report a rare case of hypophysitis with acute onset of diabetes insipidus after SARS-CoV2 vaccination. Case Report A 48-year-old female who had been in her usual state of health until she r…

  • The roots of rationality

    PsyArXiv (OSF Preprints) · 2026-04-11

    preprintOpen access

    Functional accounts of mind, brain, and behavior have profoundly shaped thinking across many disciplines. Despite this common lens, the processes driving adaptive outcomes are often studied in isolation, leading to narrow and localized explanations. This paper brings together perspectives across fields by identifying six dynamics that enable agents to behave adaptively. These dynamics span multiple timescales and systems, including individual-level processes—thinking, learning, and development—a…

  • The roots of rationality

    2026-04-12

    articleOpen access

    Functional accounts of mind, brain, and behavior have profoundly shaped thinking across many disciplines. Despite this common lens, the processes driving adaptive outcomes are often studied in isolation, leading to narrow and localized explanations. This paper brings together perspectives across fields by identifying six dynamics that enable agents to behave adaptively. These dynamics span multiple timescales and systems, including individual-level processes—thinking, learning, and development—a…

Frequent coauthors

Labs

Awards & honors

  • CDS Faculty Fellows and Moore-Sloan Fellows at CDS
  • Alumni of these programs now hold faculty positions at Yale,…
  • Vincent Divol: AI Fellow, Universite PSL
  • Najoung Kim: Assistant Professor, Boston University
  • Byung-Doh Oh: Assistant Professor, Nanyang Technological Uni…

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