Hi, I'm Sazan

I loved the serenity at the top of the Smoky Mountains! 🌄

Research Interest:

Generative AI, Multimodal Foundation Models, Geometric DL, Computational Biology, AI4Science

Updates:

[March '25] 🔖 Served as a reviewer for ICML '25 conference.
[March '25] 🔖 Served as a reviewer for MLMP workshop @ICLR '25.
[March '25] 📄 Short version of our paper PRISM got accepted at ICLR '25 workshops.
[December '24] 🔖 Served as a Junior Chair for a roundtable at ML4H symposium [documentation publicly available].
[October '24] 🔖 Served as a reviewer for TRL workshop @NeurIPS '24.
[October '24] 📄 Four workshop papers got accepted at NeurIPS '24, titled: RAG-IM, AIDO.Protein, AIDO.RNA, AIDO.DNA
[October '23] 🔖 Served as a reviewer for two NeurIPS '23 workshops: Deep Inverse and GenBio.
[October '23]📄First-authored paper Multimodal-NeuS accepted at NeurIPS '23 Deep Inverse Workshop.
[October '23] 📄Co-authored paper Pair-EGRET accepted at NeurIPS '23 MLSB Workshop.
[August '23] 🎓 Graduated from UMD with an MS in CS.
[February '23] 📄 Co-authored paper SAINT-Angle accepted in the journal Bioinformatics Advances
[February '23] 🎉 Got Ph.D. admission offer from the prestigious CMU School of Computer Science in the CPCB program!
[November '22] 🔗 My publications have recently reached 50 citations!
[November '22] 📄 Journal version of our RECOMB '22 paper published in Journal of Computational Biology
[April '22] 📄 First-authored paper QT-GILD appeared at RECOMB '22 conference
[June '22] 🔗 First-authored paper EGRET got featured as one of the state-of-the-art protein ML models by 310.ai
[January '22] 📄 First-authored paper EGRET published in the journal Briefings in Bioinformatics (GS area ranking #2)
[January '22] 📄 First-authored paper HirePreter published in ACIIW '21
[December '21] 📄 Co-authored paper received best paper award at NSysS '21 (acceptance rate: 16.67%)
[November '21] 📄 Co-authored paper Review4Repair published in the journal Information and Software Technology (GS area ranking #4)
[February '21] 🎓 Graduated from BUET with a BS in CSE.
[May '20] 📄 First-authored Paper SAINT published in the journal Bioinformatics (GS area ranking #1)

I'm a Ph.D. student at CMU SAILING Lab in the Carnegie Mellon School of Computer Science, advised by Prof. Eric P. Xing. I also work closely with Prof. Le Song (MBZUAI), Dr. Souvik Kundu (Intel AI), Prof. Ben Lengerich (UW–Madison), and Caleb N. Ellington (CMU, GenBio AI). I am also working as a Research Scientist Intern at GenBio AI, working on the AIDO (AI-driven Digial Organism) project.

I completed my Masters in Computer Science at the University of Maryland at College Park (UMD), with a concentration in AI. Here I was advised by Prof. Christopher Metzler and worked in the UMD Intelligent Sensing lab.

I graduated with a B.Sc. (Engineering) in Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology (BUET). I completed my undergrad thesis with a concentration in machine learning, under the supervision of Prof. M. Saifur Rahman and Prof. Md. Shamsuzzoha Bayzid.

Please visit my Google Scholar profile to see the list of my completed works.

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