Philippe Marchand
Hello
I am an applied statistician and data scientist with over 15 years of research experience designing experiments, analysis plans, and custom models in collaboration with specialists in various disciplines (physics, ecology, genetics, economics). I have developed a specific expertise in the use of Bayesian analysis to combine mechanistic and empirical models, and to integrate evidence from disparate sources of data.
Download my resumé as a PDF.
Experience
Adjunct Professor
Assistant Professor in Ecology and Biostatistics
- Developed and taught two graduate-level courses in statistical methods for ecology.
- Supervised four PhD dissertations and four MSc theses.
Senior Data Scientist
- Developed algorithms for Natera’s genetic screening products.
- Designed experiment plans, analyzed data for research experiments and clinical trials.
- Developed quality control criteria for the clinical laboratory.
Data Scientist
- In-house statistical expert supporting the work of 10 postdoctoral fellows and 15 international, interdisciplinary working groups funded by SESYNC.
- Collaborated as co-author on specific projects requiring large-scale data analysis.
- Developed and taught workshops on data processing, analysis and visualization, using R, SQL, Python.
Education
PhD in Environmental Science, Policy and Management
University of California, Berkeley
- Dissertation: Statistical methods for the detection and space-time monitoring of DNA markers in the pollen cloud
MSc in Physics
University of Ottawa
- Thesis: General model for the aqueous precipitation of rough-surface nanocrystals and application to ferrihydrite genesis
BSc in Physics-Mathematics
University of Ottawa
Volunteer Work
Data Analyst
Analyze data for the SF Department of Public Health’s Let’s Walk program.
Tutoring and Classroom Support
Assist a teacher in center time and tutor a student in math at a neighborhood elementary school.
Data Analyst
Small area estimation to transfer CDC health risk survey data to the census track and block level (GitHub repo).