Portrait of Amber Uhls

Amber Uhls

Clinical Research Coordinator
Berner Lab, Center for Computational Psychiatry, Mount Sinai

I am a clinical research coordinator interested in how computational and neuroimaging methods can help us better understand mental health. My current work in the Berner Lab supports clinical and computational eating disorder research at Mount Sinai.

I earned a B.A. in Psychology from Columbia University, with a concentration in Computer Science and a minor in Statistics. My background includes clinical research, behavioral experiments, natural language processing, and fMRI data collection.

Research

Current work

Eating disorders and computational psychiatry

In the Berner Lab, I support clinical and computational research through participant screening, clinical interviewing, study coordination, and quantitative and neuroimaging data analysis, including work connected to the ENIGMA Eating Disorders initiative.

Senior thesis

Loneliness and emotion perception

My senior thesis investigated loneliness and emotion perception using natural language processing to analyze participants’ written responses to emotional video stimuli.

Methods

Quantitative and experimental research

I have experience with behavioral study design, web-based experiments, data analysis, natural language processing, machine learning, and fMRI data collection.

  • Python
  • R
  • JavaScript
  • jsPsych
  • Natural language processing
  • Machine learning
  • fMRI data collection

Experience

July 2026–present

Clinical Research Coordinator

Berner Lab · Center for Computational Psychiatry · Icahn School of Medicine at Mount Sinai

Support clinical and computational eating disorder research through participant-facing study activities, coordination, and quantitative and neuroimaging data analysis.

September 2024–May 2026

Senior Thesis

Department of Psychology · Columbia University

Investigated loneliness and emotion perception using natural language processing. Advised by Jon Freeman, Ph.D.

April 2022–May 2026

Research Assistant

Social Cognitive and Neural Sciences Lab · Columbia University

Developed web interfaces and data-collection pipelines for research studies using Python, JavaScript, jsPsych, and R; contributed to study design and NLP analyses; and assisted with fMRI scanning sessions and data quality.

August–December 2022

Research Assistant

Behavioral Research Lab · Columbia Business School

Managed participant recruitment and experimental sessions and coordinated survey translation for an international behavioral study.

CV & Contact

My CV includes additional information about my education, research experience, teaching, service, and technical background.