Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Ruth Colwill

Ruth Colwill

· Professor

Brown University · Cognitive, Linguistic, and Psychological Sciences

Active 1978–2023

h-index34
Citations4.7k
Papers10814 last 5y
Funding$617k
See your match with Ruth Colwill — sign in to PhdFit.Sign in

About

Ruth M. Colwill received her PhD from the University of Cambridge and her BA from the University of York. Her research interests include animal learning and behavior, early adverse experiences on cognitive development, canine communication systems and aggressive behavior, and environmental enrichment.

Research topics

  • Computer Science
  • Cognitive psychology
  • Artificial Intelligence
  • Political Science
  • Psychology
  • Mathematics
  • Developmental psychology
  • Law
  • Neuroscience
  • Philosophy
  • Epistemology
  • Mathematics education
  • Cognitive science

Selected publications

  • Habituation: It’s not what you think it is

    Behavioural Processes · 2023 · 23 citations

    1st authorCorresponding
    • Psychology
    • Cognitive psychology
    • Developmental psychology
  • Developments in associative theory: A tribute to the contributions of Robert A. Rescorla.

    Journal of Experimental Psychology Animal Learning and Cognition · 2022 · 5 citations

    1st authorCorresponding
    • Computer Science
    • Artificial Intelligence
    • Cognitive science

    The field of associative learning theory was forever changed by the contributions of Robert A. Rescorla. He created an organizational structure that gave us a framework for thinking about the key questions surrounding learning theory: what are the conditions that produce learning?, what is the content of that learning?, and how is that learning expressed in performance? He gave us beautifully sophisticated experimental designs that tackled deep theoretical problems in experimentally clever and elegant ways. And he left us with a collection of work that fundamentally altered the way we as a field think about basic learning processes. Few scientists have impacted their field in the way that Rescorla impacted animal learning theory. In this paper, we introduce this special issue (Developments in Associative Theory: A Tribute to Robert A. Rescorla) by considering some of the many ways in which Rescorla's empirical and theoretical contributions impacted learning theory over his almost 50-year career. We conclude by identifying multiple fundamental issues we think he would have found especially fruitful to pursue as we continue to move forward. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

  • Activity Budget

    2022-01-01

    book-chapter1st authorCorresponding
  • Peak Procedure

    2022-01-01

    book-chapter1st authorCorresponding
  • Avoidance

    2022-01-01 · 1 citations

    book-chapter1st authorCorresponding
  • Activity Budget

    2021-01-01

    book-chapter1st authorCorresponding
  • Peak Procedure

    2020-01-01 · 1 citations

    book-chapter1st authorCorresponding
  • Behavioral studies of stimulus learning in zebrafish larvae

    Behavioural Processes · 2019-05-02 · 9 citations

    reviewOpen access1st authorCorresponding
  • Analysis of vertebrate vision in a 384-well imaging system

    Scientific Reports · 2019-09-27 · 12 citations

    articleOpen access

    Visual impairment affects 253 million people worldwide and new approaches for prevention and treatment are urgently needed. While small molecules with potential beneficial effects can be examined in various model systems, the in vivo evaluation of visual function remains a challenge. The current study introduces a novel imaging system for measuring visually-guided behaviors in larval zebrafish. The imaging system is the first to image four 96-well plates with a single camera for automated measurements of activity in a 384-well format. In addition, it is the first system to project moving visual stimuli and analyze the optomotor response in the wells of a 96-well plate. We found that activity is affected by tricaine, diazepam and flumazenil. Surprisingly, diazepam treatments induce a loss of visual responses, at concentrations that do not affect activity or induce hyperactivity. Overall, our studies show that the developed imaging system is suitable for automated measurements of vertebrate vision in a high-throughput format.

  • Detecting Associations in Pavlovian Conditioning and Instrumental Learning in Vertebrates and in Invertebrates

    2018-02-12 · 2 citations

    book-chapter1st authorCorresponding

    Many vertebrates and invertebrates display behavioral changes follozving exposure to Pavlovian and instrumental conditioning procedures. These behavioral changes are generally thought 2to represent the output of an associative learning process. Thus, Pavlovian conditioning leads to the formation of stimulus-outcome associations and instrumental learning leads to the development of response-outcome associations. In this chapter, I discuss a relatively unappreciated criticism of the conventional view that stimulus-outcome and response-outcome learning may be inferred simply on the basis of standard operational criteria. Then, I describe two techniques that are popular in the modern conditioning literature for detecting associations betzveen a stimulus and its consequent outcome and between a response and its consequent outcome. One of these techniques depends on the identity of the outcome and the other technique depends on the value of the outcome. Finally, I reviezo the possible limitations regarding the use of these methodologies for detecting associative learning.

Recent grants

Frequent coauthors

  • Robbert Créton

    Providence College

    52 shared
  • Robert A. Rescorla

    22 shared
  • Danielle Clift

    Providence College

    16 shared
  • Robert J. Thorn

    Brown University

    16 shared
  • Holly Richendrfer

    Brown University

    16 shared
  • Peter D. Balsam

    Columbia University

    12 shared
  • Masayoshi Ohta

    Kitano Hospital

    10 shared
  • Mrinal Kapoor

    Harvard University

    8 shared

Awards & honors

  • The Lewis Paeff and Edna Duchin Lipsitt Lecture in Child Dev…
  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Ruth Colwill

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup