ML at Apple. PhD Biostatistician. @unc alum. Interested in causal inference, experimentation and precision health interventions. Thoughts my own.
Bay Area, CA
Joined July 2019
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- Following147
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Dr. Jenny Yang retweeted
Jenny Yang (@datajyang) will host a round table discussion titled:
"Prepare for a job in Tech"
on 8/10 @ 9:00 AM EST in Breakout Room 3
Dr. Jenny Yang retweeted
Prioritizing vaccinations by risk of mortality and morbidity is both efficient and equitable. Thread.
xitter.cf/ZoeMcLaren/status/1345…
Dr. Jenny Yang retweeted
I have long admired @timnitGebru for her brilliance, moral courage, clear voice in speaking up for what is right, & influential scholarship. It is truly terrible that Google would do this.
In this thread, I want to share some of Timnit's work I love
xitter.cf/timnitGebru/status/133…
I was fired by @JeffDean for my email to Brain women and Allies. My corp account has been cutoff. So I've been immediately fired :-)
Dr. Jenny Yang retweeted
Thank you @maddow, the @NAACP is dedicated to encouraging, uplifting and supporting the black community as we display our #PowerAtThePolls. #BlacktheVote #VoteOurLivesDependOnIt
Dr. Jenny Yang retweeted
Feels like yesterday I was writing diversity statements with the heaviest of side eyes...
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Dr. Jenny Yang retweeted
We (epi & biostat folks) have a major conflict of interest when it comes to evaluating COVID research that I’m not sure we’ve fully acknowledged. 1/
Dr. Jenny Yang retweeted
Stats:
"statistically speaking..."
"accept the null"
"...we reran the test until..."
ML:
"the AI decided..."
"after exploring the data, we split it..."
"our test set performance was even better than our training performance"
Analytics:
"hypothesis"
"we conclude"
"insights"
Dr. Jenny Yang retweeted
Big Basin Redwoods State Park (Santa Cruz Co.) "sustained extensive damage” to “park’s headquarters, historic core and campgrounds."
xitter.cf/CAStateParks/status/12…
State Parks Issues Full, Partial Closures of Park Units Due to Ongoing Wildfires: California’s Oldest State Park, Big Basin Redwoods, Extensively Damaged.
Read our press release here: bit.ly/2Qbiiiu
Dr. Jenny Yang retweeted
Videos from @StanfordAIMI Symposium are up! I spoke on why we need to expand the conversation on bias & fairness.
I will share some slides & related links in this THREAD, but please watch my 17-minute talk in full (the other talks are excellent too!) 1/
youtube.com/watch?v=1Uyc9SPe…
ALT Slide saying "AI, Medicine, & Bias: Diversifying Your Dataset is Not Enough", on the side is a view of Rachel's face and upper torso, standing in her living room. At the bottom, the screen says "Stanford AIMI, Rachel Thomas, PhD"
Dr. Jenny Yang retweeted
Love to be surrounded by wildfires and covered in smoke during a heatwave while being stuck at home because of a pandemic
Dr. Jenny Yang retweeted
So everyone is talking about UNC's COVID-19 mess - and all that criticism is perfectly valid.
But we also need to talk about why the uni-administration probably had no choice.
Buckle up and let's talk about university finances and the 4 horsemen of the academipocalypse. 1/lots?
Dr. Jenny Yang retweeted
IMO, depth in only one thing (ex: deep learning) doesn't matter too much. I think good science and thoughtfulness are much more important. The goal at a startup isn't to be a solo 10x engineer/scientist. It's to be a good team player and build a technical culture that lasts.
Dr. Jenny Yang retweeted
Two additional observations on skeptical ML practitioners:
(1) They have not been taught that, mathematically, causal models are NECESSARY for certain tasks, and (2) They have not been taught how to USE causal models even if they were handed one. (1) + (2) drives ML skepticism.
Dr. Jenny Yang retweeted
Many of you have advised me to ignore the recent trolling. I think you’re right but I wanted to show you some of what I’m ignoring.
Dr. Jenny Yang retweeted
Proud to partner with my @OHSUSOM colleagues @choo_ek @dr_lrwyatt and Delvin Akins to ring this important alarm! nbcnews.com/think/opinion/co…
Dr. Jenny Yang retweeted
The Bias-Variance Trade-Off & "DOUBLE DESCENT" 🧵
Remember the bias-variance trade-off? It says that models perform well for an "intermediate level of flexibility". You've seen the picture of the U-shape test error curve.
We try to hit the "sweet spot" of flexibility.
1/🧵
Dr. Jenny Yang retweeted
A Nature article ucla.in/31F1C8k reports a breakthrough in medical diagnosis. While most ML enthusiasts are busy mining raw data, a British team has taken counterfactuals seriously (do-calculus, probability of causation, twin networks, noisy-OR) with impressive results.
