Maruan Al-Shedivat

Director of ML Research, Genesis Therapeutics

Joined

October 2017

Names

Maruan Al-Shedivat

Emails

****@cs.cmu.edu (Confirmed)

****@gmail.com (Confirmed)

****@genesistherapeutics.ai (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Director of ML Research

Genesis Therapeutics (genesistherapeutics.ai)

2022 – Present

Principal Researcher

Genesis Therapeutics (genesistherapeutics.ai)

2021 – 2022

PhD student

Carnegie Mellon University (cmu.edu)

2015 – 2021

Research Intern

Google (google.com)

2018 – 2020

Research Intern

OpenAI (openai.com)

2017 – 2017

MS student

KAUST (kaust.edu.sa)

2013 – 2015

Undergrad student

Moscow State University (msu.ru)

2009 – 2013

Advisors, Relations & Conflicts

PhD Advisor

Eric P. Xing

2016 – 2021

Expertise

biomolecular structure prediction

protein folding

cofolding

2023 – Present

denoising diffusion

2022 – Present

machine learning for drug discovery

2021 – Present

seq2seq

multilingual translation

2018 – Present

multi-task learning

meta-learning

2017 – Present

reinforcement learning

2017 – Present

graphical models

generative models

2014 – Present

Publications

Few-Step Cofolding with All-Atom Flow Maps
Gianluca Scarpellini, Ron Shprints, Peter Holderrieth, Juno Nam, Pranav Murugan, Rafael Gomez-Bombarelli, Tommi Jaakkola, Maruan Al-Shedivat, Nicholas Matthew Boffi, Joey Bose
- GenBio 2026 Spotlight
- Readers: Everyone
Triangle Multiplication Is All You Need For Biomolecular Structure Representations
Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Jesus Diaz, Gianluca Scarpellini, Richard Strong Bowen, Nate Gruver, Adam R. Klivans, Philipp Krähenbühl, Aleksandra Faust, Maruan Al-Shedivat
- CoRR 2025
- Readers: Everyone
Pearl: A Foundation Model for Placing Every Atom in the Right Location
Alejandro Dobles, Nina Jovic, Kenneth Leidal, Pranav Murugan, David C. Williams, Drausin Wulsin, Nate Gruver, Christina X. Ji, Korrawat Pruegsanusak, Gianluca Scarpellini, Ansh Sharma, Wojciech Swiderski, Andrea Bootsma, Richard Strong Bowen, Charlotte Chen, Jamin Chen, Marc André Dämgen, Benjamin DiFrancesco, J. D. Fishman, Alla Ivanova et al. (19 additional authors not shown)
- CoRR 2025
- Readers: Everyone
Triangle Multiplication is All You Need for Biomolecular Structure Representations
Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Jesus Diaz, Gianluca Scarpellini, Richard Strong Bowen, Nate Gruver, Adam Klivans, Philipp Kraehenbuehl, Aleksandra Faust, Maruan Al-Shedivat
- ICLR 2026 Poster
- Readers: Everyone
Principles of Learning in Multitask Settings: A Probabilistic Perspective
Maruan Al-Shedivat
- undefined 2022
- Readers: Everyone
A Field Guide to Federated Optimization
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth et al. (33 additional authors not shown)
- CoRR 2021
- Readers: Everyone
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
- ICLR 2021
- Readers: Everyone
Progressive Generation of Long Text with Pretrained Language Models
Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
- 2021 (modified: 13 Sept 2021)
- NAACL-HLT 2021
- Readers: Everyone
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
- 2021 (modified: 29 Apr 2022)
- EMNLP (1) 2021
- Readers: Everyone
On Data Efficiency of Meta-learning
Maruan Al-Shedivat, Liam Li, Eric P. Xing, Ameet Talwalkar
- 2021 (modified: 06 Sept 2022)
- AISTATS 2021
- Readers: Everyone

View all 25 publications

Co-Authors

View all 140 co-authors