Jonathan Liu

Jonathan Liu

Data Scientist, Computational Biology

Chan-Zuckerberg Biohub

About Me

I am a computational biologist in the data science team at the Chan-Zuckerberg Biohub. At the moment I’m working on developing a spatial transcriptomics platform within the Biohub in conjunction with other biomedical research efforts.

Prior to the Biohub, I did my undergraduate studies in Applied Physics at Caltech and got a PhD in Physics at UC Berkeley, where I studied the biophysics of gene regulatory networks with Hernan Garcia. There, I focused on developing statistical techniques and models to quantify biophysical parameters from eukaryotic transcriptional data acquired through live cell imaging. I also spent a year working in origins-of-life research with Dieter Braun at the Ludwig Maximilian University in Munich, Germany, under the sponsorship of the U.S. Fulbright Student Fellowship. Although my background is in traditional physics, I have picked up a lot of familiarity with biology along the way and often inhabit the border between physics and biology, as well as between theory and experiment.

Check out my CV here, as well as my resume here.

Outside of research, I am deeply committed to science communication and community building. I have given numerous talks to wide range of audiences, both expert and nonexpert, and regularly write scientific articles for the Berkeley Science Review. For the past few years, I have also been involved with industry-academia connections, serving on the team of Beyond Academia, a student-run organization at UC Berkeley that brings together hundreds of PhDs in industry every year. Please get in touch if you’re interested in chatting about this!

Beyond my scientific life, I am an active collaborative pianist in the Bay Area. In my free time I enjoy reading speculative fiction, running, and cooking.

Contact

jonathan dot liu at czbiohub dot org

Twitter: @jhliu42

LinkedIn: in/jonathan-liu-b004103b/

Interests

  • Spatial transcriptomics
  • Systems biology
  • Statistical inference
  • Modeling
  • Computational image analysis

Education

  • PhD in Physics, 2021

    UC Berkeley

  • BS in Applied Physics, 2015

    Caltech

Experience

 
 
 
 
 

Data Scientist, Computational Biology

Chan-Zuckerberg Biohub

Aug 2021 – Present San Francisco, California
 
 
 
 
 

Graduate Student Researcher

Garcia Lab, UC Berkeley

Aug 2016 – Jul 2021 Berkeley, California
Funded by Department of Defense NDSEG fellowship.
 
 
 
 
 

Visiting Researcher

Braun Lab, LMU Munich

Sep 2015 – Jul 2016 Munich, Germany
Funded by U.S. Fulbright Scholar program.

Selected Publications

Jonathan Liu, Donald Hansen, Elizabeth Eck, Yang Joon Kim, Meghan A Turner, Simon Alamos, Hernan G Garcia. (2021) Real-time single-cell characterization of the eukaryotic transcription cycle reveals correlations between RNA initiation, elongation, and cleavage. PLoS Computational Biology.

Elizabeth Eck*, Jonathan Liu*, Maryam Kazemzadeh-Atoufi, Sydney Ghoreishi, Shelby Blythe, Hernan G Garcia. (2020) Quantitative dissection of transcription in development yields evidence for transcription factor-driven chromatin accessibility eLife 2020;9:e56429. (*equal contribution)

Matthias Morasch, Jonathan Liu, Christina F Dirscherl, Alan Ianeselli, Alexandra Kühnlein, Kristian Le Vay, Philipp Schwintek, Saidul Islam, Mérina K Corpinot, Bettina Scheu, Donald B Dingwell, Petra Schwille, Hannes Mutschler, Matthew W Powner, Christof B Mast, Dieter Braun. (2019) Heated gas bubbles enrich, crystallize, dry, phosphorylate and encapsulate prebiotic molecules Nature Chemistry 11:779–788