Greene Lab Career Week Report
Our lab was inspired by the Avasthi lab’s career development week. If everyone in the lab engaged in a career enhancing activity, then we’d treat ourselves to Federal Donuts. My task for the week was to take the opportunity to share what people accomplished this week.
First, I want to highlight two incredible lab members who will be graduating in the next year. We would not be where we are without their contributions, and I want to give them my strongest endorsement as they find new challenges and opportunities:
Jie Tan, a PhD student, updated her CV and asked the lab for feedback. Jie is an expert in unsupervised machine learning approaches for data integration and feature construction, with a particular emphasis on noisy public data. She’s wrapping up an data science internship in industry this summer. She’ll be considering job offers for positions that start late spring/early summer of 2017 after she completes her dual degree (PhD Genetics, M.S. Computer Science) from Dartmouth. Jie can be reached via e-mail with job opportunities.
Kathy Chen, an undergraduate researcher, created a new twitter account, @kathemeral, and performed a self evaluation. She also e-mailed some contacts that I put her in touch with in the NYC Biotech startup scene. In our lab, Kathy has done a remarkable job on what we viewed as a high-risk high-reward extension of Jie Tan’s ADAGE method. We’ve been thrilled with her curiosity, insight, and grit through challenges, and her work on the project has been stellar. Kathy will be graduating from Penn next spring, and is considering what will follow her graduation. She likes to study complex systems and favors workplaces with open communication culture. She’s interested in data science opportunities: either in industry as part of a great team that includes dedicated time to mull over open questions and the ability to interact with ‘crazy smart people’ outside of her company and industry, or in graduate school. Kathy can be reached via e-mail if you are aware of opportunities that might be ideal.
Next I want to highlight Amy Campbell. Amy plans to work with us for a year between graduation and potential grad school and industry opportunities. This week, Amy created a twitter account and tweeted a question about data visualization in R and Python: @amy_e_campbell
Our postdocs have focused on the mentoring and outreach sides of career development. Jaclyn Taroni joined the Association for Women in Science and signed up to participate in the AWIS-PHL Mentoring Circles Program. Daniel Himmelstein wrote his longest comment on a github issue to date. His struggles with licensing of biomedical data were profiled this week in a Nature News piece titled: “Legal confusion threatens to slow data science.”
Our PhD students also joined in. Brett Beaulieu-Jones prepared a short elevator pitch and abstract for his next project and set up time to discuss the project with a clinician-researcher. Greg Way performed what he described as a long overdue update to his website.
The programmers in the lab got in on the career development party. René Zelaya created a website profiling his work on the GIANT and Tribe webservers; Matt Huyck created a personal blog; and Dongbo Hu created a twitter account: @dongbohu.
Undergraduate researcher and rising Penn LSM junior Roshan Ravishankar performed a self evaluation and asked the lab for feedback. He’s considering routes for how to further pursue his interests in business, science, and medicine in the upcoming semesters and after graduation.