@jiequnh - Bluesky Profile

Latest posts by jiequnh.bsky.social on Bluesky

Extremely humbled to receive this award and deeply grateful to my mentors, collaborators, friends, and family for their support along the way. Excited to continue contributing to scientific machine learning!

04.03.2025 21:33 — 👍 2 🔁 0 💬 0 📌 0

Appreciate the shoutout, @nmboffi.bsky.social! I’m equally biased and couldn’t agree more—excited to see more exciting work on high-dimensional problems!

26.01.2025 14:16 — 👍 0 🔁 0 💬 0 📌 0

Deep Learning for Large-scale Molecular Dynamics and High-dimensional Partial Differential Equations - ProQuest Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.

Just learned from a mail that my PhD thesis on ProQuest can generate a bit of royalty income for a few cups of coffee. Ironically, though largely based on my papers, it’s the only thing that has ever paid me. Academic publishing works in mysterious ways…
www.proquest.com/openview/281...

08.01.2025 04:07 — 👍 1 🔁 0 💬 1 📌 0

@jiequnh is following 20 prominent accounts

Simons Foundation
@simonsfoundation.org

Advancing the frontiers of basic science through grantmaking, research and public engagement. Sign up for our newsletter: simonsfoundation.org/newsletter

Flatiron Institute
@flatironinstitute.org

Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ

Gabriel Peyré
@gabrielpeyre

Grant Rotskoff
@grant.rotskoff.cc

Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu

Michael Albergo
@msalbergo

junior fellow at @Harvard.edu, incoming prof at @HSEAS and @Kempnerinstitute.bsky.social studying machine learning and its applications to nature and the sciences

Molei Tao
@moleitaomath

Georgia Tech Prof; Tsinghua (Math+Phys), Caltech (Control & Dynamical Systems), NYU Courant (Applied & Computational Math) * deep learning theory * (diffusion) generative model, probabilistic machine learning * AI4Science

Florentin Guth
@florentinguth

Postdoc at NYU CDS and Flatiron CCN. Wants to understand why deep learning works.

Alex Damian
@adamian

Weijie Su
@wjsu

Associate Professor at University of Pennsylvania

Mufan Li
@mufan-li

Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci https://mufan-li.github.io/

Sham Kakade
@shamkakade

Harvard Professor. ML and AI. Co-director of the Kempner Institute. https://shamulent.github.io

Ernest Ryu
@ernestryu

Professor of Applied Mathematics at UCLA. Interested in deep learning and optimization.

Francis Bach
@bachfrancis

Researcher in machine learning

Andrej Risteski
@andrejristeski

Machine learning researcher. Professor in ML department at CMU.

Sebastien Bubeck
@sbubeck

I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.

Andrew Gordon Wilson
@andrewgwils

Machine Learning Professor https://cims.nyu.edu/~andrewgw

Andrea Montanari
@andrea-montanari

Professor, Stanford University, Statistics and Mathematics. Opinions are my own.

Sanjeev Arora
@profsanjeevarora

Director, Princeton Language and Intelligence. Professor of CS.

Zico Kolter
@zicokolter

Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.

Yisong Yue
@yisongyue

AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com