Faculty of Science
Data Science Institute

Anytime-Valid PAC-Bayes for Industrial Applications

A research team led by Drs. Danica Sutherland (Computer Science) and Trevor Campbell (Statistics) were awarded postdoctoral funding from the UBC Data Science Institute. The team aims to provide a suite of tools which will allow companies to make optimal use of their data while providing rigorous, statistically principled and continously monitorable generalization guarantees on their deployed AI models.

Awarded to:
Postdoc Fellows:

Innovative deep-learning based program for cervical cancer screening

The Data Science Institute is pleased to announce a research team led by Drs. Xiaoxiao Li (Electrical and Computer Engineering) and Gang Wang (Pathology and Laboratory Medicine) has been awarded the Postdoctoral Matching Fund from the DSI. This project aims to develop an end-to-end automatic deep learning-based cervical cancer screening pipeline that requires less labelling and addresses challenges in multi-institutional learning.

Awarded to:
Postdoc Fellows:

Technology pipeline for the development of Machine-Learned Interatomic Potentials

With the postdoctoral funding award from the Data Science Institute, Dr. Joerg Gsponer (Biochemistry and Molecular Biology) aims to establish and benchmark a technology pipeline for the development of Machine-Learned Interatomic Potentials (MLIPs) for Intrinsically Disordered Proteins (IDPs), thereby establishing a pathway to close a huge methodology gap that currently prevents significant progress in many areas of biochemistry and biomedicine.

Awarded to:
Postdoc Fellows:
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Musqueam First Nation land acknowledegement

We honour xwməθkwəy̓ əm (Musqueam) on whose ancestral, unceded territory UBC Vancouver is situated. UBC Science is committed to building meaningful relationships with Indigenous peoples so we can advance Reconciliation and ensure traditional ways of knowing enrich our teaching and research.

Learn more: Musqueam First Nation

Data Science Institute

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6339 Stores Road, Room 113C
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Faculty of Science

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