Song Lab© 2018 Yun S. Song. All rights reserved.
- PI:
Yun S. Song
304B Stanley Hall
321 Evans Hall - Postdocs:
Gonzalo Benegas
(PhD, UC Berkeley)
378 Stanley HallAntoine Koehl
(PhD, Stanford University)
378 Stanley HallJesús Martínez-Gómez [ Homepage ]
(PhD, Cornell University)
361 Koshland Hall - PhD Students:
Carlos Albors
378 Stanley HallYufan Cao
378 Stanley HallMilind Jagota
378 Stanley HallCanal Li [ Homepage ]
378 Stanley HallSebastian Prillo [ Homepage ]
(Joint with Nir Yosef)
378 Stanley HallJunhao (Bear) Xiong
(Joint with Jennifer Listgarten)
Chengzhong Ye
(Joint with Bin Yu)
Fanding Zhou
378 Stanley Hall
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Matthew Liu |
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Aakarsh Vermani |
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Audrey Chun |
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- Paul A. Jenkins [ Homepage ] (Postdoc, Nov 2008 – Jun 2012) Associate Professor in the Departments of Statistics and Computer Science, University of Warwick.
- Matthias Steinrücken [ Homepage ] (Postdoc, Feb 2010 – Jan 2015) Assistant Professor in the Department of Ecology and Evolution, University of Chicago.
- Christopher Hallsworth (Postdoc, Oct 2010 – Aug 2011)
- Tzu-Yu Joyce Liu [ Homepage ] (Postdoc, Sep 2013 – Aug 2017) Associate Professor in the Electrical Engineering Department at National Taiwan University.
- Shishi Luo (Postdoc, May 2014 – May 2017) On to Helix
- Ethan Jewett (Postdoc, Oct 2014 – Aug 2017) On to 23andMe
- Miaoyan Wang (Postdoc, Sep 2015 – Aug 2018) Assistant Professor in the Department of Statistics, University of Wisconsin – Madison
- Zvi Rosen (Postdoc, Jan 2016 – Aug 2018) Assistant Professor in the Department of Mathematics, Florida Atlantic University
- Khanh Dao Duc (Postdoc, Jun 2014 – Jun 2019) Assistant Professor in the Department of Mathematics, University of British Columbia
- William DeWitt (Postdoc, May 2022 – Jun 2024) Assistant Professor in the Department of Genome Sciences, University of Washington
-
Junming Yin (PhD, 2010. Jointly advised by Mike Jordan) On to CMU as a Lane Fellow in Computational Biology.
Now an Assistant Professor at the University of Arizona.
PhD Thesis Title: Computational Methods for Meiotic Recombination Inference -
Wei-Chun Kao (PhD, 2011) On to Unisonic Technologies (VP Operations). Now at Omniscient Cloud Technologies (Founder).
PhD Thesis Title: Algorithms for Next-Generation High-Throughput Sequencing Technologies -
Joshua S. Paul (PhD, 2012) On to InVitae.
PhD Thesis Title: Conditional Sampling Distributions for Coalescent Models Incorporating Recombination -
Andrew H. Chan (PhD, 2013) On to Google Inc. Now at Airbnb.
PhD Thesis Title: Scalable Statistical Methods for Ancestral Inference from Genomic Variation Data -
Anand Bhaskar (PhD, 2013) On to Stanford University as a CEHG Postdoctoral Fellow in Jonathan Pritchard's lab. Now at Facebook.
PhD Thesis Title: Statistical, Algorithmic, and Robustness Aspects of Population Demographic Inference from Genomic Variation Data -
Ma'ayan Bresler (PhD, 2014) On to Google Inc.
PhD Thesis Title: Statistical Methods for Genome Assembly -
Sara Sheehan (PhD, 2015) On to Smith College as an Assistant Professor of Computer Science. Now an Assistant Professor of Computer Science at Haverford College.
PhD Thesis Title: Scalable Algorithms for Population Genomic Inference -
Kelley Harris (PhD, 2015. Jointly advised by Rasmus Nielsen) On to Stanford University as a Kirschstein-NRSA Postdoctoral Fellow in Jonathan Pritchard's lab. Now an Assistant Professor of Genome Sciences at the University of Washington, Seattle.
PhD Thesis Title: Inference of population history and mutation biology from human genetic variation -
John A. Kamm (PhD, 2015) On to the Sanger Institute & the University of Cambridge as an HFSP Postdoctoral Fellow in Richard Durbin's lab.
PhD Thesis Title: One and Two Locus Likelihoods under Complex Demography -
Jonathan Terhorst (PhD, 2017) On to the University of Michigan as an Assistant Professor in the Department of Statistics.
PhD Thesis Title: Demographic Inference from Large Samples: Theory and Methods -
Jonathan Fischer (PhD, 2018) Now a Clinical Assistant Professor in the Department of Biostatistics at the University of Florida.
PhD Thesis Title: Statistical Methods and Analyses in Computational Genomics: Explorations of Eukaryotic Transcription -
Jeffrey P. Spence (PhD, 2019) On to Stanford University as a Postdoc in Jonathan Pritchard's lab.
PhD Thesis Title: Probabilistic Models and Statistical Inference in Population Genetics -
Jane Yu (PhD, 2019) On to Facebook AI as
Research Scientist.
PhD Thesis Title: Computational Tools for Immune Repertoire Characterization and Primer Set Design -
Jeffrey Chan (PhD, 2021) Machine Learning Scientist, Dyno Therapeutics.
PhD Thesis Title: Scalable Machine Learning Algorithms for Biological Sequence Data -
Dan Daniel Erdmann-Pham (PhD, 2021) On to Stanford University as a Stein Fellow in the Department of Statistics
PhD Thesis Title: Probabilistic Models and Statistical Tools for Gene Expression Analysis -
Nicholas Bhattacharya (PhD, 2022)
PhD Thesis Title: Making Sense of Protein Representation Learning in the Wild -
Sanjit Batra (PhD, 2022) On to
Optum Labs as Senior Machine Learning Scientist.
PhD Thesis Title: Computational methods for regulating transcription and translation -
Neil Thomas (PhD, 2022) On to
Google X as Machine Learning Research Scientist.
PhD Thesis Title: Browsing in the Library of Babel: Leveraging Evolutionary Information to Improve Protein Modeling -
Alan Aw (PhD, 2023) On to U Penn as postdoc.
PhD Thesis Title: Statistical Genomics Through the Lens of Exchangeability, Stability and Stratification -
Gonzalo Benegas (PhD, 2023) Staying on as postdoc in the lab.
PhD Thesis Title: Computational and Machine Learning Methods for Understanding Gene Regulation and Variant Effects -
Yutong Wang (PhD, 2024) On to UCSF as postdoc.
PhD Thesis Title: Statistical and Machine Learning Methods for Understanding Spatial Biology and Cellular Communication. -
Yun Deng (PhD, 2024. Jointly advised by Rasmus Nielsen)) On to Stanford as postdoc.
PhD Thesis Title: Advanced statistical and algorithmic methods for Ancestral Recombination Graph.
-
Peter McMahon (2008. Master's student from the University of Cape Town.
On to Stanford University as a PhD student in EE.)
Master's Thesis Title: Accelerating Genomic Sequence Alignment using High Performance Reconfigurable Computers. -
Nanheng (Alex) Wu (2009. Master's student in EECS, UC Berkelely. Jointly advised by Satish Rao)
Master's Thesis Title: Preliminary Studies on de novo Assembly with Short Reads. -
Justin Hong (2020. 5th Year Master's student in EECS, UC Berkelely. Jointly advised by Kannan Ramchandran)
Master's Thesis Title: A Likelihood-based Deconvolution of Bulk Gene Expression Data Using Single-Cell References. -
Julian Faust (2022. 5th Year Master's student in EECS, UC Berkelely.)
Master's Thesis Title: Machine Learning Prediction of TCR-Epitope Binding. -
Frank Liu (2023. 5th Year Master's student in EECS, UC Berkelely.)
Master's Thesis Title: Codon Usage Bias Regulates the Dynamics of Protein Translation. -
Emaad Khwaja (2023. Master's student in EECS, UC Berkelely.)
Master's Thesis Title: Text-to-Image Model for Protein Localization Prediction.
- Fulton Wang (2009) On to MIT as a PhD student in EECS.
-
Jonas Mueller (2011--2013) On to MIT as a PhD student in EECS.
Honor's Thesis Title: Statistical inference of recombination-inducing genic features in Drosophila melanogaster - Tyler Brabham (2014) On to YouTube.
- Yun Park
- Emilia Wieczorek
- Kawin Swaddiwudhipong
- Harry Dong
- Andrew Chen (2019--2020)
Honor's Thesis Title: Conservation and Variation in Human Ribosomal DNA as Characterized by Long-Reads - Frank Liu
- Xurui Chen
- Dasheng Bi
- Jesper Nielsen (Aug 2009 -- Mar 2010, Visiting PhD student from Aarhus University, Denmark)
- Paula Cristina Tataru (Jan 2013 -- Jul 2013, Visiting PhD student from Aarhus University, Denmark)
- Daniel Živković (April 2013 -- Jul 2013, Visiting postdoc from LMU Munich)
- Jeffrey Chan (May 2013 -- Aug 2013, Visiting undergraduate student from MIT. Amgen Scholar.)