People

Principal Investigator 

Theresa M. Desrochers, Ph.D.
Position: Rosenberg Family Assistant Professor of Brain Science,
Departments of Neuroscience; Psychiatry and Human Behavior (courtesy),
and Carney Institute for Brain Science
Emailtheresa_desrochers@brown.edu
CV: https://vivo.brown.edu/display/tdesroch​
X (Twitter): https://twitter.com/DesrochersLab
Mastodon: https://neuromatch.social/@DesrochersLab
Bluesky: https://bsky.app/profile/desrocherslab.bsky.social
(Photo credit: Stephanie Ewens Photography)

Post-Doctoral Fellows 

Katherine Conen, Ph.D.
Email: katherine_conen@brown.edu

Overview:I am interested in understanding how neural circuits represent the structure of behavior across time. Using approaches from systems neuroscience, I study how neurons in prefrontal areas encode information about sequence progression, focusing in particular on transition points in the task structure. Ultimately, this work will provide insight into the hierarchical and sequential relationships the primate brain uses to link percepts and behaviors into complex actions and predictive models.

M. Vanessa Rivera Núñez, Ph.D.
Email: maria_nunez@brown.edu

Overview: I am a post-doctoral research fellow investigating memory deficits associated with anxiety. My research utilizes neuroimaging, psychophysiological, and behavioral methods to explore shifts in neural circuits related to anxiety. I am particularly interested in the functional interplay between the prefrontal cortex, the nucleus reuniens of the thalamus, and the hippocampus, with a focus on anxiety-related phenomena such as memory overgeneralization and sequence memory impairments.

Lab Manager 

Matthew Maestri
Email: matthew_maestri@brown.edu

Overview: Prior to managing the Desrochers Lab, Matthew was a Research Assistant in a neuroscience lab at Augusta State University, formerly the Medical College of Georgia.

Graduate Students 

Hannah Doyle
Position: Neuroscience Graduate Student
Email: hannah_doyle1@brown.edu

Overview: I am broadly interested in using primate and human fMRI to study cognitive control mechanisms that dictate our day to day lives. In particular I aim to better understand brain areas involved in sequential processing and how these neural mechanisms might go awry in people with obsessive-compulsive and related disorders.

Defne Buyukyazgan
Position: Neuroscience Graduate Student
Email:defne_buyukyazgan@brown.edu

Overview: I am interested in understanding how neural representations relate to the production of goal directed behaviors in the prefrontal cortex. I am particularly interested in learning to answer this question by combining a fixed paradigm with multiple methods.

Undergraduate Students 

Aiai Calmer ’26
Position: Undergraduate Research Assistant
Email: aiai_calmer@brown.edu

Overview: I am a neuroscience and history concentrator interested in researching how disorders impacting executive function can affect the neural mechanisms behind abstract sequencing. In the lab, I look forward to using human fMRI to study working memory in sequential tasks.

Research Technician 

Nami Kaneko
Email:nami_kaneko@brown.edu

Overview: I am broadly interested in investigating the evolutionary origins of cognition. Eventually I hope to analyze the differences between the human and primate neural mechanisms involved in various abstract cognitive processes. Previously I worked in the field as a research assistant in the Cognitive Evolution Group at the University of Michigan.

Lab Alumni

Postdocs

  • Debaleena Basu, Ph.D.
  • Theresa McKim, Ph.D.

Graduate Students

  • Nadira Yusif Rodriguez, Ph.D. 2022. Dissertation: The neural representation of abstract visual sequences
  • Aarit Ahuja, Ph.D. 2022 (co-advised with Dr. Sheinberg). Dissertation: Visual simulation in the primate brain  

Undergraduate Students

  • Kathryn Graves, ScB 2015. Honors Thesis: Differential reaction times in familiar and novel sequences: a pilot study 
  • Sarah Master, ScB 2017. Honors Thesis: The influence of anxiety on sequential processing
  • Juliana Trach, ScB 2018. Honors Thesis: Practice and embedded motor sequences facilitate the learning and execution of abstract task sequences
  • Victoria Flagg, ScB 2018
  • Meghan Hershkowitz, ScB 2019 (in Biology)
  • Keran Yang, BA 2019 (Wheaton College, MA). Honors Thesis: Investigation of kinesin-2 and osm-3 during ciliogenesis in sea urchin embryos
  • Eojin Choi, ScB 2019. Honors Thesis: Full Circle: Parallels Between the Beginning and End of Life in Health Care (Science, Technology, and Society) 
  • Gabriela Batista 2020
  • Vivian Lu, ScB 2020. Honors Thesis: Exploring the role of sleep in sequence processing
  • Kristina Lowndes, ScB 2020. Honors Thesis: The role of working memory in tracking sequences of variable length
  • Jay Vankawala, ScB 2021. Honors Thesis: Evidence of sensory recruitment and local ramping in a feature-based visual working memory task
  • Christine Schremp, ScB 2022. Honors Thesis: Identification of depression subtypes through clustering of EEG microstates and disease symptomatology
  • Matthew Salomon, ScB 2022
  • Michael Lahiff, ScB 2022
  • Janet Chang, ScB 2022. Honors Thesis: An online behavioral research paradigm using Amazon Mechanical Turk, JSPsych & PsiTurk: A pilot study assessing hierarchical abstract sequential processing
  • Kyoko Leaman, ScB 2023. Honors Thesis: The effect of prior experience on abstract sequential processing
  • Lewis Nunez, ScB 2024 (Hunter College). Summer 2023 Project: Neural activity patterns underlying abstract sequence viewing in humans
  • Rolake Feyisetan, ScB 2024. Honors Thesis: Comparing RS-FC between prefrontal cortical regions and caudate in people with OCD and HCs
  • Claire Kim, ScB 2024. Honors Thesis: Implications of sequence task timings on the rate of microsaccades 
  • Monica Ocitti, ScB 2024. Honors Thesis: Using electrophysiological data to look at inhibitory and excitatory activity in the monkey prefrontal cortex
  • Samantha Buyungo, ScB 2024. Honors Thesis: Analyzing resting state functional connectivity in the anterior insula, precuneus, and rDLPFC in OCD and HCs
  • Valeria Quero. Summer 2024 Project: Generalization of a convolutional neural network-based spike sorting pipeline
  • Derek Hessinger. Summer 2024 Project: Evaluating the performace of autoencoders for spike sorting automation