Atul Butte died yesterday.
The world lost a giant.
A big bear of a man.
With a huge smile.
With love for everyone.
With energy that could power a room.
I loved everything about Atul.
I loved how he was always happy.
I loved how excited he was about science and helping people.
Between alarms and sheltering, I learned last night that my postdoc mentor, Professor Atul Butte @atulbutte, has passed away, and he is only 55 years old. This is devastating news 💔.
Atul was a giant in so many ways. He was a visionary leader in translational bioinformatics @Stanford who reinvented himself as a pioneer of AI in medicine @UCSF. He published hundreds of papers, founded multiple companies, was elected to the National Academy of Medicine, and recently to the American Academy of Arts & Sciences.
But Atul was much more than his achievements. He possessed something rare in science - infectious positivity. Every encounter with him, no matter how low I felt going in, I'd leave optimistic and energized to pursue my goals. After every talk he gave, students would line up to tell him how he motivated them to do something big with their lives.
Another rare trait was his kindness and generosity with credit. Atul taught me: "credit is indefinitely divisible." In a field where people often take undeserved credit, this was inspiring.
I will miss Atul, like so many others will. He is survived by his wife Gini and daughter Kimi, but his legacy will live on through his countless trainees and colleagues worldwide.
43% of White students at Harvard are legacy, athletes, related to donors or staff.
All the universities making social media statements today should end legacy admissions tomorrow. https://t.co/ysuQaAxgi2
My feeling is that we've only begun to scratch the surface of how non-mutational events contribute to cancer transformation, whether that's through environmental exposures or stochastic epigenetic changes. Fantastic work here by the Swanton Lab!
Yeah, that @OneMedical is finally opening in Sharon Heights… but this is different, Gavin! This service doesn’t even need a physical or video encounter (see https://t.co/EglDVgiRRx)! I think this is meant to compete with @wearehims and similar. And doesn’t even bother to accept health insurance.
Stunned and thrilled to be one of the 505 scientists, engineers and innovators from around the world and across all disciplines elected into the 2022 class of @AAAS Fellows! Thank you to all my lab members and collaborators, past and present! https://t.co/45RwAeHAeg
Ellen Chen ‘24 was among the winners of the New York Times Coming of Age Art Contest. Her winning painting “Consumption” depicts life in isolation during the height of the COVID-19 pandemic. Read more: https://t.co/Eb67zPSzuL.
Our clinical data platform found that Africa American aNSCLC patients shows significant better TTD and OS than White patients in real world setting. https://t.co/2vYN32IGWD
My wife @li_emr‘s new paper to predict Postpartum hemorrhage after giving birth by mining EMR using digital phenotypes, more than three times as many as using blood loss alone. Another example of our clinical data platform to improve women's health! https://t.co/zFdHorpteX
Predict Postpartum hemorrhage after giving birth by mining EMR using digital phenotypes, more than three times as many as using blood loss alone. Another example of our clinical data platform to improve women's health!
Now more than ever, leveraging rich data can optimize treatment across health systems. Sema4 SVP of Bioinformatics R&D, Dr. @RongChenBioinfo outlines the opportunity for oncologists to gain critical insights from patient data. Read more: https://t.co/VGK0GmDOxR #precisiononcology
Our first two campaigns are to find positive outliers in Lyme Disease (funded by @BayAreaLyme) and COVID-19. https://t.co/dsvBy5ISy1 I’ll write threads on each of these campaigns next.
@RongChenBioinfo, our SVP of Bioinformatics R&D, covers how hospital systems & medical practices have an opportunity to help oncologists derive more useful intelligence from patient data as newer data tools become available. https://t.co/If8jalRtb8 #oncology#precisionmedicine