SLAS 2022 International Conference and Exhibition (Society for Laboratory Automation and Screening)
Amanda Paulson, Ph.D., Presentation: Integrating Experiments and Machine Learning Models: Examples from the ATOM Consortium
February 8, 2022
Boston, MA
ODSC West Reconnect 2021
Hiranmayi (Hiran) Ranganathan, Ph.D., Presentation
November 16-18, 2021
San Francisco, CA
Event Description: Open Data Science Conference gathers attendees, presenters, and companies that are shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists, with major conferences in the USA, Europe, and Asia.
World Drug Safety Congress Americas
Amanda Paulson, Ph.D., Presentation: Incorporating predictive toxicology into the discovery phase of drug development: insights from the ATOM Consortium
October 20-21, 2021
Boston, MA
NCI Data Science Learning Exchange Hands-on Machine Learning Tutorial
Sarangan "Ravi" Ravichandran, Ph.D., Presenter: Learn how to use AMPL to accelerate drug discovery!
September 14, 2021
Virtual
2021 Technology Showcase
Eric Stahlberg, Ph.D., Presentation: Democratizing Drug Discovery
September 1, 2021
Virtual
Event Description: Hear from inventors from the National Cancer Institute and the Frederick National Laboratory about technologies primed for commercialization and/or collaboration; great opportunity for biotech stakeholders and companies of all sizes, including start-ups
NCATS ASPIRE Virtual Workshop
Hiranmayi Ranganathan, Ph.D.; Martha S. Head (Marti), Ph.D., Susan Mertins, Ph.D.
June 3-4, 2021
Virtual
NCI DATA Science Learning Exchange
Jonathan Allen, Ph.D., Presenter: AI in Drug Development (Slides Available)
May 25, 2021
Virtual
American Association for Cancer Research Annual Meeting
Jim Brase, M.S., Presentation: ATOM Capabilities
May 17-21, 2021
Virtual
Spring Research Festival
Amanda Paulson, Ph.D., Poster: Informatics
April 28-29, 2021
Virtual
Bringing Artificial Intelligence to the Bedside
Eric Stahlberg, Ph.D., Presenter
April 22, 2021
Virtual
National Human Genome Research Institute Machine Learning in Genomics Workshop
Ali Navid, Ph.D., attendee
April 13-14, 2021
Virtual
Purdue DataMine E-Symposium
Jonathan Allen, Ph.D, Mentor
April 12, 2021
Virtual
2021 Society of Toxicology Annual Meeting and ToxExpo
Amanda Paulson, PhD, Poster: Toward a Data-Driven DILI Prediction Platform
Monday, March 22, 2021
Virtual
NIH Virtual Workshop on Chemical Identifier (InChl)
Sarangan Ravichandran, Ph.D. & Brian Bennion, Ph.D.
March 22 - 24, 2021
Virtual
WiDS (Women In Data Science) Livermore
Hiranmayi Ranganathan, PhD: Career Panelist
Virtual Conference
Monday, March 8, 2021
Rare Disease Day at NIH
Saifur Rahman, Naomi Ohashi
Virtual
Monday, March 1, 2021
Workshop: Machine Learning for Molecules, @NeuroIPS 2020
Hran Ranganathan, PhD
December 12, 2020
Virtual
NIH Virtual Workshop on Ultra-Large Chemistry Databases
Jim Brase, MS, Presentation: ATOM – Scalable Deep Learning of Generative Models for Molecular Design Optimization
Virtual
Wednesday, December 2, 2020
Sixth Computational Approaches for Cancer Workshop (CAFCW20)
Jim Brase, MS, Panel: HPC, Cancer, and COVID-19
Ben Madej, PhD, Presentation: Scalable human pharmacokinetics property prediction for cancer drug discovery at ATOM
Amanda Paulson, PhD, Poster: Developing property prediction models of MRP3 and MRP4 transporter inhibition
Stewart He, PhD, Poster: Exploring strengths and weaknesses of PQSAR 2
Sookyung Kim, PhD, Poster: Neural Collaborative Filtering Method for IC50 Prediction of drug compounds
Friday, November 13, 2020
Virtual
Kevin McLoughlin, PhD, Sarangan (Ravi) Ravichandran, PhD, and Stewart He, PhD
Friday, October 30, 2020
Virtual
2020 Technology Showcase
National Cancer Institute and Frederick National Laboratory Technology Showcase
Ben Madej, PhD
Presentation
Wednesday, September 9, 2020
Virtual
National Cancer Institute and Frederick National Laboratory 2020 Technology Showcase
ACS Fall 2020 Virtual Meeting & Expo: Moving Chemistry from Bench to Market
Brian Bennion, PhD
Poster
Monday, August 17 to Thursday, August 20
Virtual
ACS Fall 2020 Virtual Meeting and Expo: Moving Chemistry From Bench to Market
ROSA: An Integrated Machine Learning Framework for Novel Small Molecule Drug Design
Jonathan Allen, PhD
Webinar: An Integrated Machine Learning Framework for Novel Small Molecule Drug Design
Wednesday, July 15, 2020
https://www.rosaandco.com/webinars/2020/machine-learning-framework-small-molecule-drug-design
UCSF-Stanford CERSI Innovations in Regulatory Science Summit
Andrew Weber, MS
Panel: Advancing Discovery to First-In-Human Clinical Trials for New Medical Products
Sunday, January 2019
San Francisco, CA
This one-day event, co-hosted by ATOM and the International Society of Pharmacometrics Quantitative Systems Pharmacology Special Interest Group, is intended to highlight some of the recent achievements in QSP and discuss emerging approaches, illustrate application areas, and promote networking, collaboration, and shared learning between QSP industry practitioners, biological research scientists, academic and government investigators, and students. The intention is to draw a large regional audience, primarily from the Bay Area.
Friday, December 13 at 9:00 am - 4:00 pm PT
San Francisco, CA
Jonathan Allen, PhD
Presentation: An Integrated Machine Learning Framework for Novel Small Molecule Drug Design
Wednesday, November 20
Cincinnati, OH
Andrew Weber, MS
Panel: TBD
Sunday, November 17
Denver, CO
Amanda Minnich, PhD
Keynote: TBD
Thursday, October 24 - Friday, October 25
Bethesda, MD
Jonathan Allen, PhD
Presentation: Developments in Machine Learning for Applications in Biomedicine
Friday, September 27
San Francisco, CA