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Welcome 👋
I am currently a Ph.D. student in EECS at UC Berkeley, working with Professor Yun S. Song. My research focuses on AI for Science (AI4Science).
Previously, I was a Master’s student at the University of British Columbia (UBC), advised by Professors Siqi Sun, Chenyu You, and Wanli Ouyang. I am also grateful for the early research guidance I received from Professors Lili Mou and Greg Kondrak at the University of Alberta.
Recent News
2026 Sep:
1 paper was accepted to DAI (Oral)
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2026 Sep:
1 paper was accepted to AACL
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2026 Aug:
1 paper was accepted to EMNLP Findings
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2026 Jul:
1 paper was accepted to ACM MM
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2026 Jun:
My paper on scaling proteomics with deep learning was accepted to Nature Methods
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2026 May:
1 paper was accepted to ICML
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2026 Feb:
1 paper was accepted to CVPR Findings
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2025 Sept:
2 papers were accepted to NeurIPS
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2025 July:
One paper got accepted in Journal of Scheduling, after 3 years of reviewing process
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2025 April:
2 papers were accepted to ICML
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2025 March:
1 paper got accepted to ACL main conference
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2025 Jan:
My paper on peptide sequencing with Non-autoregressive Transformer got accepted to Nature Communications
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