Joined January 2014
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David Conti retweeted
How is #cancer risk different among #diverse populations? Faculty @dvconti and @ChrisHaiman are making it their mission to find out. bit.ly/3guB6H7 @genome_gov

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16 Jun 2021
Constructing and evaluating risk models in non-European ancestry populations is essential to broaden the impact of genomic medicine. Excited to be a part of this group @ChrisHaiman @johnwitte @GENES_PK and others supported by the consortium. @KECKSchool_USC @uscphs @USCBiostat
Research studies are starting to use polygenic risk scores to determine a person’s inherited risk for diseases. @NIH is awarding grants to develop methods that will improve how polygenic risk scores can be used to predict disease in diverse communities. bit.ly/3wednRj
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David Conti retweeted
People previously infected with COVID-19 should postpone getting vaccinated so more vulnerable groups can be prioritized, argues Schaeffer Center’s Neeraj Sood @USCPrice, and Abigail Horn and @dvconti of @KECKSchool_USC. calmatters.org/commentary/my…
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David Conti retweeted
How to become a SUCCESSFUL academic: a guide 1/n
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5 Jan 2021
Congrats to @ChatziLida team for NIEHS 2020 paper of the year! Uses LUCID to identified children at high risk for liver injury, integrating prenatal PFAS exposures and metabolomic profiles. factor.niehs.nih.gov/2021/1/… @uscphs @USCBiostat @KECKSchool_USC

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4 Jan 2021
Our @BurcuDarst new paper on trans-ancestry GWAS for prostate cancer. We develop a genetic risk score and estimate absolute risk in four major ancestry groups. nature.com/articles/s41588-0… @uscphs @USCBiostat @KECKSchool_USC @USC_Research

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24 Dec 2020
The surge continues in Los Angeles County. As of 12/23/20, we estimate 3.7% of the county's population is currently infected and daily deaths are rising. Latest model estimates at uscbiostats.github.io/COVID1… @uscphs @USCBiostat @KECKSchool_USC
19 Dec 2020
Latest estimates for our LA County COVID model are at uscbiostats.github.io/COVID1… Current estimated percentage of infected (both observed and unobserved) is 2.88%. More detail at: medrxiv.org/content/10.1101/… @USCBiostat @uscphs @KECKSchool_USC
18 Dec 2020
Our new paper modeling the COVID-19 epidemic in Los Angeles County. Includes risk-stratified estimates of case fatality rates and infection fatality rates across different time points. medrxiv.org/content/10.1101/… @usc @USCBiostat @uscphs
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Replying to @blekhman
Made me think of this one
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18 Oct 2018
Great discussion for high performance computing today at the Core C meeting @USCBiostat
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