I give an invited talk in the Machine Learning in Genomics session at ProbGen 2026 at UC Berkeley. The talk is titled “Predicting dynamic expression patterns in budding yeast with a fungal DNA language model.”
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The OpenSpliceAI version of record is published in eLife. The GitHub repository and documentation are available.
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Our Shorkie preprint describing a fungal DNA language model for predicting RNA-seq coverage from DNA sequence in S. cerevisiae is available on bioRxiv.
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My public dissertation talk, “Decoding the Language of Genomes: Bridging Sequences and Function through Deep Learning,” is scheduled for August 25, 2025.
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I defend my Ph.D. dissertation at Johns Hopkins University on August 25, 2025, advised by Steven Salzberg and Mihaela Pertea.
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The OpenSpliceAI paper is published in eLife. The GitHub repository and documentation are available.
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The JHU Computer Science Department spotlights LiftOn in the feature article Solving the Bottleneck in Genome Biology.
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I present an overview of protein language models and OpenCRISPR at the Hopkins Deep Learning in Genomics Study Group. The slides are available.
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OpenSpliceAI, Splam, and LiftOn appear in the JHU Open Source Programs Office catalog.
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I deliver the Mark O. Robbins Prize recipient talk at HPC 2025. The slides are available.
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I release OpenSpliceAI, an open-source PyTorch framework for splice-site prediction. The preprint, GitHub repository, documentation, and slides are available.
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LiftOn is published in Genome Research. The GitHub repository, documentation, slides, and ISMB 2024 talk are available.
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Johns Hopkins publishes a feature article about Splam on the HUB, Computer Science, and Whiting School of Engineering websites.
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I present Splam and OpenSpliceAI at Biological Data Science 2024.
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I co-found the Deep Learning in Genomics Study Group at Hopkins with Mahler Revsine. Meeting materials are available in the study group repository, including my opening talk slides.
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The JHU Computer Science Department publishes an article highlighting my receipt of the 2024 Mark O. Robbins Prize in High-Performance Computing.
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The Splam splice-site prediction paper is published in Genome Biology.
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I give an invited Google Deep Dive presentation on my genomics AI research. The internal presentation and public slides are available.
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I present my Calico internship project in a one-hour showcase talk. The slides are available.
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I receive the 2024 Mark O. Robbins Prize in High-Performance Computing and present the recipient talk at the 2025 ARCH Symposium.
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I join the Kelley Lab at Calico for a summer 2024 internship in South San Francisco.
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LiftOn v1.0.0 is released. The RECOMB-Seq talk slides, poster, GitHub repository, and documentation are available.
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LiftOn, a genome annotation lift-over tool, is selected for a talk at RECOMB-Seq 2024.
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My Wheeler graph collaboration with Berkeley EECS is highlighted by the JHU Whiting School of Engineering and the JHU Computer Science Department, featuring work with Pei-Wei Chen, Ben Langmead, and Sanjit Seshia.
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I present Splam at Genome Informatics 2023. The v1.0.10 release is available on GitHub.
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My co-authored paper introduces EASTR, a tool for identifying and removing inaccurate spliced alignments, and is published in Nature Communications.
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I complete my Graduate Board Oral exam at Johns Hopkins University, with Steven Salzberg, Mihaela Pertea, Ben Langmead, Liliana Florea, and Winston Timp serving on the committee.
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The CHESS 3 paper describes a new human gene catalog and is published in Genome Biology.
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My iScience paper describes fast Wheeler graph recognition using renaming heuristics and an SMT solver. The paper, GitHub repository, and RECOMB-Seq talk are available.
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I release Splam v1.0.2, a splice-site prediction tool for improving spliced alignments. The GitHub repository, preprint, and documentation are available.
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My co-first-author paper on protein interactome analysis from co-elution data is published in Briefings in Bioinformatics, in collaboration with the HK Tsai Lab and Jun-Yi Leu Lab. The paper is available online.
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Splam is accepted as a poster at MLCSB COSI, and Han1 is accepted as a highlight poster at HiTSeq COSI during ISMB/ECCB 2023.
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The WGT paper is accepted to RECOMB-Seq as a proceedings-track paper and to RECOMB as a poster, in collaboration with the Langmead Lab and Seshia Lab.
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I present Han1 at Biological Data Science 2022. The poster and one-minute lightning talk are available online.
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The Wheeler Graph Toolkit, a software suite for Wheeler graph recognition and analysis, is available with a preprint on bioRxiv.
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sangeranalyseR and RNASeqR are released as part of Bioconductor 3.14.
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I join Steven Salzberg and Mihaela Pertea’s labs as a Computer Science Ph.D. student at Johns Hopkins University.
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sangeranalyseR receives the Best Poster award at Bioc2021. The poster is available through F1000Research.
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Several Unity WebGL side projects are available, including Biobaby, Flappy Penguin, and Tank Fire.
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My Genome Biology and Evolution paper introduces sangeranalyseR, an open-source R package for processing Sanger sequencing data, available through Bioconductor.
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