Lunchtime Career Chat with Shannon Stock, PhD ’11, Assistant Professor of Statistics, College of the Holy Cross
Monday, March 11, 1:00-2:00pm, Rm 426
Lunch provided. All are welcome!
Shannon Stock completed her Ph.D. in Biostatistics (‘Exploratory Methods for Longitudinal Data Measured with Error’) at Harvard University in 2011, working with Professor Victor De Gruttola, and worked at the Dana-Farber Cancer Institute before commencing a junior faculty role at Holy Cross, where she now has tenure.
Shannon will have insights into the academic job search process, faculty teaching and research roles in statistics at a liberal arts institution, the tenure process, work-family balance, and can offer an alumna perspective across many fronts.
Data Science Everywhere Career Panel
Sponsored by the HBDC
Tuesday, March 12, 5:30-7:00pm (networking until 7:30pm)
Northwest Building, room B101, Cambridge
Refreshments provided
RSVP: https://goo.gl/forms/fG7Epjp1i3T0Ifbb2
The Harvard Big Data Club (HBDC) at GSAS is excited to announce their upcoming panel talk! Data analysis methods are applied across different fields, from cell biology, imaging, genomics, to cosmology. What do these areas have in common? How are the statistical approaches different? What can they learn from each other?
Come and join to hear a wide range of applications of data analysis techniques and participate in the discussion to learn about the role of data analysis across academia!
Panelists will include members from
- The Broad Institute of MIT and Harvard
- Harvard-Smithsonian Center for Astrophysics, Eruptions, mergers and explosions of stars (wow!)
- Harvard-Black Hole Initiative, Computational photography and imaging
- Harvard-Smithsonian Center for Astrophysics, Cosmology, finance, economics and sports data analysis
This panel aims to bring together scholars working on seemingly different fields, but all related to data science, and tries to learn the differences and commonalities between their areas and methods of study.
Lunchtime Career Chat with Godwin Yung, PhD ’16, Senior Statistician, Takeda Pharmaceuticals, and Giusi Moffa, PhD, Visiting Scientist, HCSPH
Wednesday, March 13, 1:00-2:00pm, Rm 426
Lunch provided. All are welcome!
Godwin Yung defended his dissertation Statistical Methods for Analyzing Genetic Sequencing Association Studies in 2016, under the mentorship of Professor Xihong Lin. He has internship (Takeda) as well as research trainee (BWH) experience, and currently spends time both in methods research and consultation, as well as trial pipeline support, at Takeda. Godwin has many insights from the alumnus perspective to share with students and postdocs about his own work and career path, the job search process, helpful coursework to embark on while still a student, and more.
Giusi Moffa received her PhD (2010) in statistics from the University of Bristol, UK, where her dissertation was titled Some Computational Advances in Sampling Based Statistical Inference. After a research fellowship at the University of Regensberg, Giusi spent nearly 3 years as a Senior Statistician at Novartis in Basel, Switzerland, where she supported clinical pharmacology work for multiple Oncology trials, and partook in the planning and reporting of meta-analyses and exposure-response analyses in support of regulatory submissions. Giusi has additional interesting stops in her background, and can offer a unique perspective on the student experience, fellowship/researcher/scientist role, and industry statistician perspective.
