I am officially on the postdoc job market! 🥂
Please contact me if you are looking for someone with an interest and expertise in any of the following areas:
- Systems genetics, interaction networks, synthetic lethality & epistasis
- CRISPR guide library design
- Cancer genetics
- DNA replication, recombination & repair
- Automated image processing
- Molecular biology
- R statistical programming
- Reproducible data analysis
To read about my thesis work, please see my post on the systems genetics of DNA damage tolerance, which includes links to my publications, informal introductions to the topics covered in my dissertation, and discussion of key insights from my PhD.
What am I looking for?
While my predoctoral work was focused on molecular biology methods at a gene synthesis startup company, and my doctoral work was a balance between yeast genetics and bioinformatics, my ideal postdoctoral position would allow me to focus more specifically on bioinformatics work.
I am especially interested in projects involving the measurement, and interpretation of genetic interaction profiles/networks using CRISPR methods, which would be a natural extension of my thesis work (discussed briefly here).
My PhD focused on cancer genetics, synthetic lethality, and DNA repair, so these areas would involve a smaller startup cost for me. However, I am not afraid of diving into other areas of biology (the biggest skill gained during a PhD might just be the ability to quickly familiarize oneself with an unfamiliar topic).
I am also open to projects that are completely different from my thesis work. For example, I very much enjoyed collaborating on microscopy studies of chromosome mobility. Additionally, perhaps stemming from my time working as a gene synthesis technician, I hold a strong interest in genome and protein engineering projects, especially those involving directed evolution and synthetic biology.
All that said, if you have a project that you are excited about and you think I might be even remotely interested, please reach out and let’s have a fun chat!
Beyond the postdoc?
This is somewhat in the “dream” category for me at the moment, but I would love to develop and teach an introductory course on reproducible data analysis methods targeted at the community college level. The course would draw heavy inspiration from Jenny Bryan’s Stat 545 course, and case studies in data analysis a la Tidy Tuesday.
While I find MOOCs inspiring for their potential to reach millions of people, I know that I and many others still benefit greatly from in-person instruction. I think this is especially true for those who are intimidated by computing. I consider reproducible data analysis a foundational skill for current and future researchers, journalists and scientists. As such, I consider community colleges to be the ideal place for students beginning their careers, and people in established careers, to brush up on these modern data science methods with accessible and affordable in-person instruction.
If you would like to work with or support me on this endeavor, we should talk!