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Prashant Govindarajan Profile
Prashant Govindarajan

@prashantg_17

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227
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120
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37

PhD Candidate at @mila_quebec and @ChandarLab | IIT Madras ‘22 ; Interested in AI for Science and Reinforcement Learning

Montréal, Québec
Joined October 2019
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@prashantg_17
Prashant Govindarajan
2 years
Just passed my quals/pre-doc, and it was a great experience presenting in front of @chrisjpal @GlenBerseth @apsarathchandar. I'm a PhD Candidate now!
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@prashantg_17
Prashant Govindarajan
14 days
If you're applying for PhD/MSc positions for Fall 2026, I'd highly encourage you to consider applying to @ChandarLab through the Mila supervision process. Please reach out if you have any questions!
@apsarathchandar
Sarath Chandar
14 days
I am recruiting several graduate students (both MSc and PhD level) for Fall 2026 @ChandarLab! The application deadline is December 01. Please apply through the @Mila_Quebec supervision request process here: https://t.co/4UfkKPMRHn. More details about the recruitment process
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@prashantg_17
Prashant Govindarajan
1 month
I’ve been working with Mathieu for more than 1.5 years and I can vouch that he’s an excellent researcher and a great mentor. I’m also attending @COLM_conf this time, and would love to chat with anyone about LLM post-training, reinforcement learning, and AI for Science!
@apsarathchandar
Sarath Chandar
1 month
If you are attending @COLM_conf and looking to hire a research scientist, I highly recommend you talk to my postdoc, Mathieu Reymond, who is in the job market and at the conference! Mathieu is an expert in mult-objective RL, multi-agent RL, RL for scientific discovery, and RL for
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@apsarathchandar
Sarath Chandar
1 month
If you are attending @COLM_conf and looking to hire a research scientist, I highly recommend you talk to my postdoc, Mathieu Reymond, who is in the job market and at the conference! Mathieu is an expert in mult-objective RL, multi-agent RL, RL for scientific discovery, and RL for
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@artemZholus
Artem Zholus
1 month
Attending #COLM2025 today in Montreal! Shoot me a message if you want to chat about Multimodal LLMs and World Models!
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@prashantg_17
Prashant Govindarajan
1 month
If you or someone you know from an underrepresented community is planning to apply to graduate school and would benefit from feedback on their application, please check out this application assistance program from our lab.
@apsarathchandar
Sarath Chandar
1 month
At @ChandarLab, we are happy to announce the third edition of our assistance program to provide feedback for members of communities underrepresented in AI who want to apply to high-profile graduate programs. Want feedback? Details: https://t.co/0K6AA4gV0U. Deadline: Nov 01! cc:
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@apsarathchandar
Sarath Chandar
2 months
We just made NovoMolGen easy to play with: Transformers-native checkpoints on the Hub and small notebooks that let you load, sample, and fine-tune in minutes. The few lines of code that load the model, plug in a reward, run a short RL finetune, and plot the curve.
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@Mila_Quebec
Mila - Institut québécois d'IA
2 months
Exciting news! We're thrilled to announce the appointment of Professor @hugo_larochelle as Mila's new Scientific Director! A deep learning pioneer and former head of Google's AI lab in Montreal, Hugo's leadership will be pivotal in advancing AI for the benefit of all. Read the
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@apsarathchandar
Sarath Chandar
3 months
Molecules speak in atoms and bonds. LLMs can learn that language. Even with SOTA #denovo design, our largest molecular LLM study finds a plot twist: early saturation, weak scaling, and proxy metrics that mislead on real tasks! Led by @kchitsaz and @roshan_msb 🧵 More in thread:
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@prashantg_17
Prashant Govindarajan
3 months
Excited for this year’s @ChandarLab Symposium on August 19-20! Two of my works will be presented. Join us to explore the diverse research directions our lab is pursuing.
@apsarathchandar
Sarath Chandar
3 months
If you want to learn about the recent research advances at @ChandarLab, please consider joining our sixth annual research symposium on August 19 and 20! Link: https://t.co/XaVqAaomBp Link to register: https://t.co/9PVxDnfMLt 2 days of talks on various topics including deep
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@rl4rs_workshop
rl4rs workshop
7 months
We have an amazing lineup of speakers, who will share their experience in deploying RL for power systems, industrial processes, nuclear fusion, logistics and more! Consider submitting!
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@prashantg_17
Prashant Govindarajan
8 months
Excited to share this! We have a diverse research ecosystem and I’ve benefited a lot from the collaborations and support of the postdoc mentors in my lab. Please consider applying for the available postdoc positions if you’re looking for an opportunity to work these topics.
@apsarathchandar
Sarath Chandar
8 months
In my lab, we have not one but four open postdoc positions! These positions cover developing foundation models for text, proteins, small molecules, genomic data, time series data, and astrophysics data! If you have strong research expertise and a PhD in LLMs and Foundation
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@apsarathchandar
Sarath Chandar
8 months
What's the foundational model for generative chemistry? Our work, BindGPT, is a good candidate, and it will be presented at #AAAI2025 today! We built a simple transformer language model that beats diffusion models by just generating 3D molecules as text! Led by @artemZholus 1/n
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@apsarathchandar
Sarath Chandar
8 months
2025 BERT is NeoBERT! We have fully pre-trained a next-generation encoder for 2.1T tokens with the latest advances in data, training, and architecture. This is a heroic effort from my PhD student @lo_LB_La in collaboration with @qfournier2 and Mariam El Mezouar (1/n)
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@apsarathchandar
Sarath Chandar
11 months
Congratulations, Dr. @andreas_madsen! Andreas is my first PhD student to graduate, and I am extremely proud of his work in NLP interpretability!
@andreas_madsen
Andreas Madsen
11 months
I’m thrilled to share that I’ve finished my Ph.D. at @Mila_Quebec. For the last 4.5 years, I have worked on creating new faithfulness-centric paradigms for NLP Interpretability. Read my vision for the future of interpretability in our newposition paper:
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@andreas_madsen
Andreas Madsen
11 months
I’m thrilled to share that I’ve finished my Ph.D. at @Mila_Quebec. For the last 4.5 years, I have worked on creating new faithfulness-centric paradigms for NLP Interpretability. Read my vision for the future of interpretability in our newposition paper:
Tweet card summary image
arxiv.org
Interpretability is the study of explaining models in understandable terms to humans. At present, interpretability is divided into two paradigms: the intrinsic paradigm, which believes that only...
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@apsarathchandar
Sarath Chandar
1 year
At @ChandarLab, we are happy to announce the second edition of our assistance program to provide feedback for members of communities underrepresented in AI who want to apply to high-profile graduate programs. Want feedback? Details: https://t.co/QSWBH7aWON. Deadline: Nov 15!
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@prashantg_17
Prashant Govindarajan
1 year
Mila - Quebec Artificial Intelligence Institute annual supervision request process is now open to receive MSc and PhD applications for Fall 2025 admission! For more information, visit https://t.co/7DSbgMaqys
mila.quebec
Each student at Mila is supervised by one of our affiliated professors. Applicants are selected through the supervision request process.
@Mila_Quebec
Mila - Institut québécois d'IA
1 year
Mila's annual supervision request process opens on October 15 to receive MSc and PhD applications for Fall 2025 admission! Join our community! More information here https://t.co/r01eLcXtZw
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@apsarathchandar
Sarath Chandar
1 year
🌟 Excited to announce AMPLIFY, our latest protein language model that challenges the scaling trend! While current models like ESM2 15B rely on billions of parameters, AMPLIFY achieves superior performance with only 350M parameters. 1/7
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@prashantg_17
Prashant Govindarajan
1 year
Excited to present my work on RL for material discovery today!
@apsarathchandar
Sarath Chandar
1 year
I am very excited to announce @ChandarLab's fifth annual research symposium! Please join us on August 19th and 20th to learn more about our recent progress in deep learning, reinforcement learning, NLP, continual learning, optimization, and AI for science! 2 days of great talks
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@andreas_madsen
Andreas Madsen
1 year
Spotlight award at ICML 2024. Introducing a new direction for interpretability: Faithfulness Measurable Models. 2x-5x better explanations, more accurate faithfulness metrics, no cost, and optimal explanations. Paper: https://t.co/UU5aTvaTsu. Hall C 4-9, 24 Jul (11:30 - 13:00).
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