Trainees are expected to develop robust computational skill-sets relevant to the study of living systems and to prepare them for sustainable careers. The InQuBATE training program will provide enhanced training in this area through workshops that will augment classroom training with practical skill sets specifically designed for dual-use.  In doing so, we will prioritize the following programmatic offerings:

Software/statistics workshops: Workshops will be offered annually, focused on enhancing the technical skills of trainees in specific methodologies used by InQuBATE labs. The first of these was held in 2023 and will be repeated each summer on a different topic.

Bruce Weir Summer Institute in Statistical Genetics (SISG)

This summer program introduces participants to modern methods of statistical analysis and to the challenges posed by modern genetic data. Since 2025, InQuBATE trainees are granted free access to the courses of their choosing.

2023 InQuBATE Workshop: Computational Problems in Single Cell Transcriptomics and Multi-omics

Over two days, students learned about various methods such as clustering, trajectory inference, lineage tracing, and others for analyzing multi-omics data.

Hands-On InQuBATE Modeling Outreach Workshop: Program Faculty will work with trainees to organize, prepare, and teach an annual workshop intended to expand the impact and dissemination of quantitative methods to a diverse range of students (and of instructors). The workshop is part of an ongoing program organized by former PI Weitz and current PI Gumbart (starting in May 2017). Recent examples include the following:

2024 Hands-on Workshop on Protein Modeling with AlphaFold 2/3

This workshop focused on using AlphaFold 2/3 as well as RFDiffusion to model protein structures. Keynote lectures from Prof. Jeff Skolnick and Prof. Andrew McShan complemented tutorials and activities instructing over 50 participants in the use of these tools. The workshop proved quite timely as this was the subject of the 2024 Nobel Prize in Chemistry.

2023 Hands-on Workshop on Machine Learning of Viral Molecular Dynamics

This workshop focused on using ML approaches, including random forests and neural networks, to analyze molecular dynamics simulation data.

2022 Hands-on Workshop on Stochastic Gene Expression

This workshop, the first in person since 2019, brought  participants from around the Atlanta area to GT to learn the basics of developing stochastic models of gene expression.