Update: I've successfully defended my PhD thesis. 🍾🥳 Looking forward to catching up on sleep!
David Alvarez Melis
849 posts
David Alvarez Melis
@elmelis
Asst. Prof. @hseas @KempnerInst || Researcher @MSRNE || ML + NLP || Previously: @MIT_CSAIL NYU @IBMResearch @ITAM_mx
- With this announcement out, it's time for an overdue career update! I’ll be joining Harvard SEAS in 2023. I’m beyond thrilled to be part of this superb cohort of incoming faculty, and to join such an exciting, forward-looking and interdisciplinary academic unit as @hseas. [1/n]It's been an exciting year for faculty hiring at Harvard CS: We've recruited 7 faculty members who all have Twitter accounts! Looking forward to welcoming @ShamKakade6, @AnuragAnshu4, @elmelis, @jefrankle, @sitanch, @YannaiGonch, @viegasf. seas.harvard.edu/news/2021/10/s…
GIF- Exactly 10 years ago this day, I arrived in the US with my entire life packed into two suitcases for what was supposed to be just a masters’ degree “and then I’ll head back home” 😅
- Happening today! Join us in room 220-222 for a day packed with Optimal Transport, from theory to applications, w/ talks by Felix Otto, Laetitia Chapel @RFlamary @brandonamos @ArnaudDoucet1 Florentina Bunea, Smita Krishnaswamy, Sinho Chewi among others! #FeelTheMonge #NeurIPS2023
- It’s official! 👩🏻🎓Dr Amores it is. Extremely proud of @jdthamores for a spectacular PhD defense. A fitting testament to a remarkably interdisciplinary researcher, her thesis seamlessly weaves together science, art and design. She never ceases to amaze me, and did so again today 🎉
- A propos of #NeurIPS2022 rebuttals, I asked DALL-E to help me visualize Reviewer #2 reviewing our paper. Did not disappoint.
- Come work with us, now *in person* again! We have projects spanning various areas of ML and Stats, and an awesome team of researchers to work with. Apply below 👇If you're a PhD student interested in interning with me or one of my amazing colleagues at MSR New England this summer, please apply here careers.microsoft.com/us/en/job/1483…
- Boston’s ducklings responsibly practicing social distancing *and* wearing face (beak?) masks #ducklingdistancing #covid19
- Replying to @ethanCaballeroWe’re hiring PhD interns at MSR: careers.microsoft.com/us/en/job/1483…
- This has been a few months in the making, so very happy to finally see it go live! 🎆 The blog gives an overview of our paper (w/ @nfusi) on OT dataset distances (+ fun interactive visualizations). The context: we're interested in a notion of distance between datasets... (1/n)Microsoft researchers propose Optimal Transport Dataset Distance, a method for computing similarity b/w labeled datasets—regardless of whether their label sets are directly comparable. Learn how it can predict task transferability & help data augmentation: aka.ms/AA9p00v
- ✨Another edition of the Optimal Transport and Machine Learning workshop is taking place at #NeurIPS2023. 🚀Contribute your work on OT and theory, computation, deep learning, or applications until Sept 29 (otmlworkshop.github.io/call)! Details on speakers and schedule coming soon.
- Some things sound too good to be true. This is *not* one of them. Been here only a few weeks, but can safely say it’s as great as this listing makes it sound - awesome collaborators, exciting environment, freedom in shaping research agenda, i.e., postdoc paradise. Apply!We are hiring Postdocs in Machine Learning (among other positions) at Microsoft Research New England: careers.microsoft.com/us/en/job/7216… @MSRNE
- 𝐶𝑎𝑛 𝑦𝑜𝑢 𝑡𝑒𝑎𝑐ℎ 𝑎𝑛 “𝑜𝑙𝑑 𝐿𝐿𝑀” 𝑛𝑒𝑤 𝑡𝑟𝑖𝑐𝑘𝑠? 🐕🦺 You *can* if you ⟨𝕋𝔸𝔾⟩ your commands! In this work led by superstar @JunhongShen1 (w/ @nfusi @ntenenz Jimmy Hall) we introduce a simple-but-effective method to ‘repurpose’ LLMs to new domains and tasksMicrosoft presents Tag-LLM Repurposing General-Purpose LLMs for Specialized Domains paper page: huggingface.co/papers/2402.05… Large Language Models (LLMs) have demonstrated remarkable proficiency in understanding and generating natural language. However, their capabilities wane in
