Yunha Hwang
Assistant Professor, Samuel A. Goldblith Career Development Professor of Applied Biology
Develops machine learning models and experimental approaches to discover and design microbial biochemistry, including genomic AI.
Yunha Hwang's lab at MIT works on proteins, drugs & materials and genomics & computational biology. 5 papers since 2023, 1 at top venues, mostly Nature Communications. 3 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 20%
- PhD students
- 3
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 1 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: Nature Communications
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials3 papers
- Genomics & computational biology0 papers
- experimental0 papers
- approaches0 papers
- discover0 papers
Paper list
From the lab homepage.
20261 paper
- Proc. Natl. Acad. Sci. U.S.A. 123 (25) e2610619123Linear-time prediction of proteome-scale microbial protein interactions
20252 papers
- Science Advances.Gaia: A Context-Aware Sequence Search and Discovery Tool for Microbial Proteins
- International Conference on Learning Representations (ICLR) , .08.The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling
20241 paper
- Nature Communications (T1)Genomic language model predicts protein co-regulation and function
20231 paper
- phyla and domains in a dense syntrophic microbial mat. Nature Microbiology. .Host-virus interactions cross-cutting microbial phyla and domains in a dense syntrophic microbial mat
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
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