"It has become commonplace to evaluate machine learning algorithms based on overall measures like accuracy or area under the curve. However, one evaluation metric cannot capture the complexity of performance." Nice (and realistic) article by Sherri Rose statnews.com/2019/12/12/mac…

Our paper on fair regression is now forthcoming in IBS Biometrics Journal! Biometrics link onlinelibrary.wiley.com/doi/10.1111/bi… ArXiv arxiv.org/abs/1901.10566 Code github.com/zinka88/Fair-R… Discussed next steps needed to bring this work to practice at the recent Int’l Risk Adjustment Network meeting

Our new @NBERpubs working paper is out! nber.org/papers/w26736 Fixing undercompensation for several groups in risk adjustment improved fairness for *many other groups and overall fit* We did this by bringing together: 1️⃣fair regression 2️⃣ML for variable selection 3️⃣reinsurance

We wrote an accessible review article about the ethical ML in health care pipeline -- with margin definitions! Grateful to the dream team Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman, PhD (she/her) Marzyeh arxiv.org/abs/2009.10576

At 4pm EDT on June 15, Dr Sherri Rose will receive the Gertrude Cox Award and give the annual lecture online. Her topic is “Electronic Health Data: Too Important to Be a Toy Example.” Congratulations, Dr Rose! washstat.org/archive/annual…

We have at least 5 postdoctoral positions at MIT CSAIL for first-generation college students, individuals underrepresented in graduate education at MIT, and others overcoming significant challenges in path toward graduate school -- applications due June 24th

Courtney Johnson and Arapata Hakiwai are sharing their perspectives and experiences leading Te Papa. #HePitoMata

Congratulations to HAI faculty member @SherriRose for winning the Mortimer Spiegelman Award – the highest recognition for outstanding contributions to public health statistics. Read more about her work: shar.es/aWHa22

Join me at ActionStation presents: Real Talk: How do we honour Te Tiriti in the now? our.actionstation.org.nz/events/tbd-fir…

What does statistics bring to machine learning & AI? New piece w/Mark van der Laan on why machine learning cannot ignore the lessons of maximum likelihood estimation arxiv.org/abs/2110.12112 Many ML algorithms aren't suited for statistical inference by having deviated from sieve MLEs

Delighted to announce the launch of DARE version 1.0, a free #interactive app for highly customizable #decision tree drawing, #healthcare #evaluation, #healtheconomics and cost-effectiveness #modelling. dare.shinyapps.io/tree/ Society for Medical Decision Making (SMDM) Medical Decision Making r-hta Melbourne Health Economics UniMelb MDHS

Slides for MIT's Machine Learning for Healthcare '22 class w/Madhur Nayan here: mlhcmit.github.io! Featuring tons of new material including clinical NLP by Monica Agrawal, imaging Adam Yala, human-AI interaction Hussein Mozannar, fairness Irene Chen, &dataset shift

Life update! Starting summer 2023, I'll be an Assistant Professor in UC Berkeley + UCSF's new Computational Precision Health program (computationalhealth.berkeley.edu) with a joint appt in Berkeley EECS. Starting Aug 2022, I'll be a Postdoc at Microsoft Research New England

Looking forward to the ICML 2022 machine learning conference starting July 17.

The career progression of women is held back because women are less likely to apply for promotions. In the September 2022 issue, by Laura Hospido, Luc Laeven, and Ana Lamo. Twitter handle for Luc Laeven is Luc Laeven. zcu.io/FNR6

There are still seats available in our summer #causalinference on-campus courses. Participants will have the opportunity to meet and collaborate with people from across the globe and from various industries. 👉 Come join us in Boston 🏙️ Register today causalab.sph.harvard.edu/courses/

From the paper

AHES is excited to be hosting Professor Emily Lancsar Emily Lancsar and Professor Prashant Bharadwaj for this year's AHES conference in Sydney. Please submit your abstract before Sunday 12th May 2024. For further information, please visit our website: ahes.org.au/ahes-conferenc…

Spatial Intelligence is a critical piece of the AI puzzle. This is my 2024 TED talk about the journey from evolution to AI, on how we build Spatial Intelligence. "Sight turned into insight; Seeing became understanding; Understanding led to action. All these gave rise to