Computational Toxicology Workshop

How to use computational methods to predict human health risks from exposure to potentially toxic chemicals

Registration is open! Join us for the next hybrid Computational Toxicology Workshop on August 20-21 2026.

This workshop will introduce attendees to a variety of computational methods and approaches to assess health risks arising from exposure to toxic chemicals. Existing toxicological methods are often insufficient to test ever growing lists of new chemicals. The development of computational strategies using high-throughput in vitro and in vivo toxicology data is a powerful approach to predict the potential health risks of chemicals that have not been fully tested in the laboratory or in experimental animals.

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Summer 2026 dates: Hybrid training August 20-21, 2026 ; 9:00am - ~5:00pm EDT

Training Overview

This two-day workshop will expose attendees to the various data sources and approaches that are used to predict chemical toxicity and will introduce participants to innovative data manipulation and display strategies that are increasingly needed in data-heavy disciplines. This is a hands-on course whereby participants will mine publicly accessible datasets, begin to perform their own analyses, integrate multiple source material, and use their newfound knowledge to begin to develop thoughtful and novel insights into predictive or integrative toxicity.

Learning Outcomes

By the end of the workshop, participants will be familiar with the following topics:

How best to curve fit and display cytotoxicity data
How to create highly dimensional and informative data visualizations
The EPA’s CompTox dashboard and database
ToxPi: the Toxicological Prioritization Index (ToxPi) framework
How to interpolate and extrapolate human exposure risk across multiple data sources and techniques
How to find and choose relevant databases and repositories of high-throughput toxicological data and navigate their interfaces.
Statistical techniques to analyze chemical mixtures and their relationships to health outcomes

Location Information

Summer 2026: The Computational Toxicology Workshop is a hybrid training which is held live, in-person on August 20-21, 2026 from ~9:00am - ~5:00pm at the Columbia University Irving Medical Campus in NYC & simutaneously livestreamed via Zoom for virtual attendees. All training start and end times are in EDT.

More information on travel, lodging, and getting around NYC.

Audience and Requirements

Grad/PhD students, early-state investigators, and established PI’s at all career stages are welcome. We particularly encourage trainees and early-stage investigators to participate, as well as those who want a basic overview of computational toxicology. Other requirements include:

Each attendee must bring a personal laptop and installation of a basic RStudio cloud account is recommended although not required.
Prior to the workshop, each attendee will be given an introductory homework set and relevant readings to familiarize themselves with basic concepts, ideas, and how to navigate the EPA CompTox dashboard.
Attendees are welcome to share, analyze, and predict toxicology profiles of their favorite chemical classes or compounds.

Instructors

Norman J. Kleiman, PhD, Associate Professor of Environmental Health Sciences, Columbia University Mailman School of Public Health

Brandon L. Pearson, PhD, Assistant Professor, Department of Environmental & Molecular Toxicology, Oregon State University

Scholarships

Training scholarships are available for the Computational Toxicology Workshop.

Registration Fees

Registration Fee includes course material, breakfast, and lunch on training days. Course material will be available to all attendees during and after the workshop. Lodging and transportation are not included.

Registration Fee is based on your category. This is a hybrid training, meaning attendees can choose to attend the live training either 1) in-person in NYC or 2) virtually livestream via Zoom. The in-person registration fee includes course material, breakfast, and lunch on training days. Lodging and transportation are not included. The virtual registration fee includes course material, which will be made available to all participants both during and after the conclusion of the training.

2026 Registration Category Rates:

Student/Postdoc/Trainee:
- Early-bird rate: $1,195 (In-Person) $995 (Virtual)
- Regular rate: $1,395 (In-Person) $1,195 (Virtual)
Faculty/Academic Staff/Non-Profit Organizations/Government Agencies:
- Early-bird rate: $1,395 (In-Person) $1,195 (Virtual)
- Regular rate: $1,595 (In-Person) $1,395 (Virtual)
Corporate/For-Profit Organizations:
- Early-bird rate: $1,595 (In-Person) $1,395 (Virtual)
- Regular rate: $1, 795 (In-Person) $1,595 (Virtual)

$200 early-bird discount is automatically applied if you register before the June 15 deadline. 

Discounts Available

$200 Early-bird Discount: This is automatically applied if you register before the June 15 early-bird deadline. 
10% Columbia Discount: This is valid for any active student, postdoc, staff, or faculty at Columbia University. If paying by credit card, use your Columbia email address during the registration process to automatically have the discount applied. If paying by internal transfer within Columbia, see below. 
10% Mailman Alumni Discount: This is valid for any individual who graduated from the Columbia University Mailman School of Public Health. To access the Mailman Alumni discount and receive a registration code, please email sharp_program@cumc.columbia.edu your graduation year and degree. 
Group discounts are available for organizations sending 5+ participants. Please contact us directly at sharp_program@cumc.columbia.edu for more information.

Payment via internal transfer of Columbia funds (Columbia affiliates only)

If paying by internal transfer within Columbia, submit this Columbia Internal Transfer Request form  to receive further instructions. Please note: filling out this form is not the same as registering for a training and does not guarantee a training seat.

Payment via invoice and check/wire transfer (non-Columbia affiliates only)

If you would prefer to pay by invoice/check, please submit this Invoice Request form  to receive further instructions. Please note: filling out this form is not the same as registering for a training and does not guarantee a training seat.

Cancellations

Cancellation notices must be received via email at least 30 days prior to the training start date in order to receive a full refund, minus a $75 administrative fee. Cancellation notices received via email 14-29 days prior to the training will receive a 75% refund, minus a $75 administrative fee. Please email your cancellation notice to ColumbiaSHARP.comptox@gmail.com. Due to workshop capacity and preparation, we regret that we are unable to refund registration fees for cancellations less than 14 days prior to the training.

If you are unable to attend the training, we encourage you to send a substitute within the same registration category. Please inform us of the substitute via email at least one week prior to the training so we can include them on attendee communications, gather registration details, and provide materials. Should the substitute fall within a different registration category (e.g., you are a faculty member and they are a postdoc), the credit card on file will be credited/charged respectively. Please email substitute inquiries to ColumbiaSHARP.comptox@gmail.com. In the event Columbia must cancel the event, your registration fee will be fully refunded.

Additional Information

The Computational Toxicology Workshop is hosted by Columbia University's SHARP Program at the Mailman School of Public Health.