Welcome to the IM Lab’s home page

Our mission

We develop quantitative and computational methods and tools to sift through the vast amounts of genomic and other high dimensional data with the goal of making discoveries that can be translated to improve human health.

Recent Pictures

lab dinner — Celebrating various milestones

Lab News

Dinner at the ACNP 2023

Having dinner with colleagues at the American College of Neuropsychopharmacology ACNP 2023 meeting. Thank you Francesca for lending me your coat. It was chilly.

ASHG 2022 LA Ravi & Alex

Bumped into Ravi, Alex, and colleagues

ASHG 2022 LA Heather & Paul

Bumped into Heather and Paul at ASH

Molecular Biosciences Retreat - 2022

Retreat at the Q Center. Students had a great time. They even managed to get Haky to dance!

PCB retreat

Lunch at the Quad

Lunch at the Quad with Beau, Festus, Manuela, and Margaret

Picnic at the Millenium Park

Alex Pearson’s Visit

Alex Pearson shared with us his research on deep learning applied to medical outcomes

IGES journal club reads the original PrediXcan paper

PredictDB: Transcriptome Prediction Model Repository

Here you can find transcriptome prediction models for the PrediXcan family of methods: S-PrediXcan, MultiXcan and S-MultiXcan. .db files…

GTEx V8 Model Release

We have recently published a new set of prediction models trained on GTEx v8 data (as part of efforts detailed in this preprint. We have overhauled the model construction, incorporating posterior inclusion probabilities and global patterns of tissue sharing, while also benefiting from larger sample…

Qqplot Calibration Rare Variants

[In this report] (https://s3.amazonaws.com/imlab-open/Webdata/Files/2018/qqplot-calibration.pdf) I calculate the lower bounds of p-values when using very rare variants…