Shantao Li

Postdoc at Stanford, co-advised by Jure Leskovec and James Zou. Ph.D from Yale with Mark Gerstein.

[Zoubin Ghahramani @ZoubinGhahrama1]

Seems like a brilliant idea - matrix factorization methods from #MachineLearning applied to predicting drug side effects!

[Diego Galeano @diegogaleano05]

Our paper is finally out! It has been a long journey! Thanks to my supervisor @A_Paccanaro and co-authors @shantaolee @MarkGerstein! Please share our work #drugsideeffects #drugsafety #machinelearning #AI @NatureComms

[Cristina Sisu @CristinaSDSisu]

Great new paper from @diegogaleano05, @shantaolee, @MarkGerstein and @A_Paccanaro on predicting drug side effects. #DataScience #drugsideeffects https://t.co/TTzVHhgJiU

[Alberto Paccanaro @A_Paccanaro]

Read my latest #research on #MachineLearning applied to #DrugSideEffectsPrediction, published with @SpringerNature in @NatureComms together with my brilliant PhD student @diegogaleano05 and
@shantaolee and @MarkGerstein
https://t.co/vZPYngMxHw

[Shantao Li @shantaolee]

Online today! sigLASSO models the error in sampling (a joint optimization scheme with constraints solved using Lagrangian). So especially if your samples have low mutation counts (e.g. common in WES), check our work out!

[Mark Gerstein @MarkGerstein]

Very excited to see sigLASSO online today! It assigns mutational signatures by modeling the sampling variance in sequencing. Moreover, it takes in biological priors and runs fast. Check out our R package on GitHub! Work by @shantaolee @fcraw4d @YaleCBB https://t.co/R6Str1Tqaz

[Mark Gerstein @MarkGerstein]

Very excited to see sigLASSO online today! It assigns mutational signatures by modeling the sampling variance in sequencing. Moreover, it takes in biological priors and runs fast. Check out our R package on GitHub! Work by @shantaolee @fcraw4d @YaleCBB https://t.co/R6Str1Tqaz

[Shantao Li @shantaolee]

NYT: Nike's shoes give runners an (unfair) edge...a large-scale analysis solely based on Strava (a running app) data https://t.co/NbKp1s9xdS

[Genome Biology @GenomeBiology]

An opinion from @FNavarroBioInfo , @MarkGerstein and co, laying out frameworks for genomics as a data science, and how it fits within the measurement-mining-modeling-manipulation and volume-velocity-variety concepts https://t.co/ySOkBIk77C

[Jian Ma @jmuiuc]

I'm looking for a new postdoc to join my group to work on algorithm development for computational genomics. Candidates are also strongly encouraged to apply to our Lane Fellows program. Please help RT. 🙏
https://t.co/YNpCFNblNO

[Shantao Li @shantaolee]

@mbaudis @MarkGerstein Indeed a bummer. It will be only available after 6 months...but immediately to 90ish low-income-countries

[Shantao Li @shantaolee]

WGS is unbiased & more powerful in detecting coding variants (plus noncoding of course) and, counterintuitively, actually easier and more robust to process. Check our correspondence on NEJM by me and @MarkGerstein https://t.co/rpYHL4ed32

[Shantao Li @shantaolee]

Do you take fish oil/VitD?
VITAL results: dietary suppl with fish oil and VitD did not result in a lower incidence of cancer and major cardiovascular events. https://t.co/8B5DUtUULL

[David A Knowles (@davidaknowles.bsky.social) @david_a_knowles]

ML, functional genomics, RNA-splicing regulation or hi-throughput screens float your ⛵️? I have postdoc positions available in my shiny new lab at @nygenome / @Columbia. Lets chat at #ASHG18 or go to https://t.co/cY6qPVnhqb Please RT!

[Shantao Li @shantaolee]

"Another Ph.D. pseudogenized from this lab!" After five years at Yale with a wonderful advisor @MarkGerstein, I just moved to Stanford as a postdoc with @jure Leskovec and James Zou. PC: @gumengting333

[David Pogue @Pogue]

EXCLUSIVE: Fitbit has now accumulated 150 BILLION hours’ worth of heart-rate data—the biggest dataset in history—and gave me a look at what it reveals! Some real surprises in there. https://t.co/cmUgwak3NZ

[UK Biobank @uk_biobank]

Watch the UK Biobank live stream: https://t.co/Q2vIYbrSUu #UKBCONF18

[The Economist @TheEconomist]

The mass adoption of solar-generated electricity is causing problems in California https://t.co/163VP9wrYZ

[Shantao Li @shantaolee]

A nice, easy piece reading on p-value inflation problem in nowadays selective/adaptive inference. Taylor and Tibshirani: Statistical learning and selective inference https://t.co/rqOsqu1wg7

[Shantao Li @shantaolee]

Scientists turn into guinea pigs. https://t.co/U3cOMM3Qwr

[nature @Nature]

Wikipedia shapes the language in science papers, study reveals: https://t.co/vOOaqCd0Id

[Yale Data Science @yaledatascience]

Professor Daniel Spielman presents at the Inauguration of the @Yale Center for Biomedical #DataScience #CBDS7Feb and mentions #YaleDataHack2018 applications are open! https://t.co/lvt2jsUfVj