Vincent Jeanselme
@jeanselmev
Working on Machine Learning for Healthcare
PhD @Cambridge_Uni,soon postdoc @Columbia
Previously @CarnegieMellon @turinginst @MayoClinic
ID: 1243726423715700736
https://jeanselme.github.io/ 28-03-2020 02:27:47
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273 Followers
1,1K Following
Registration is still open for our in-person short courses on Single-Agent Phase I Dose-Escalation Studies (24 Oct) & Dose-finding Designs for Combination Treatments (25 & 26 Oct), both delivered by Pavel Mozgunov & @thomas_jaki. mrc-bsu.cam.ac.uk/training/short…
Tweeps - news! I'll join Microsoft Research as research manager starting Oct 1st, opening a new AI4Science Lab in beautiful Berlin! We'll focus on fundamental challenges between #MachineLearning & #Physics/#Chemistry. We'll start at Alexanderplatz, and we'll hire at all levels! 🧵
Are you interested to intern with world-class researchers to build interpretable models for disease diagnosis? Consider applying for this Microsoft Research Health Futures posting in Cambridge MA. careers.microsoft.com/us/en/job/1504…
📢 My lab at Spotify Research is looking for research interns. If you work on ML, Data, Networks, Audio and want to rock out with us this summer apply here (EMEA region) lifeatspotify.com/jobs/summer-in…
📢I am recruiting a postdoc! If you are interested in human-ML collaboration in healthcare, overcoming limitations of observed labels + mitigating risks of self-fulfilling prophecies, and working closely with stellar domain experts, consider applying! utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT…
Next event alert! Join us on Thur 4th May to explore this month's theme: "Machine Learning for Clinical Decision Making". We have two exciting talks from Alicia Curth Alicia Curth and Vincent Jeanselme Vincent Jeanselme, followed by pizza. See you there 👀 Milner Therapeutics Institute CRUK Cambridge Institute
How to accont for multiple medical outcomes in time-to-event modelling? Stop by our poster and presentation tomorrow chilconference to learn more! MRC Biostatistics Unit The Alan Turing Institute
Sarwan Ali Murray Patterson Prakash Yuexin Wu I-Chan Huang Xiaolei Huang tyler mccormick Zhenke Wu (吴振科) Zehang Richard Li Ryan Hanrui Wang Song Han Anand Chandrasekhar Accounting for patients leaving a study due to outcomes other than the event of interest is crucial for unbiased survival modeling. Our work introduces monotonic neural networks to tackle this challenge. Vincent Jeanselme @changHyoon MRC Biostatistics Unit @turingins github.com/Jeanselme/Neur… #CHIL23
Day 3 of #RSS2023Conf! Ali A. Septiandri 🍉 of UCL Statistical Science discussing deep learning methods to impute missing data in critical care settings Key challenge to understand how different imputation methods impact algorithmic fairness Shout out to friend of DSxHE Vincent Jeanselme !
📢 Tomorrow is the day for the UCL Symposium on Data Science for Health Equity! A one-day symposium on “Statistical Methods for Health Equity” with keynote speaker Prof. Bhramar Mukherjee. Join us online from 9am: datascienceforhealthequity.com/event-details/… Economic and Social Research Council AI Fringe #ESRCFestival
📣George Chen, Sanjat Kanjilal Sanjat Kanjilal, and Vincent Jeanselme Vincent Jeanselme will discuss ML for Survival Analysis & Epidemiology at #ML4H2023.🦠🗺️Learn how ML shapes population health and responds to disease outbreaks. Don't miss this roundtable!💯