Cameron Flower
Postdoctoral Fellow
Department of Data Science, Dana-Farber Cancer Institute
Cam received his PhD from the Massachusetts Institute of Technology where his thesis work was supervised by Forest White at the Koch Institute for Integrative Cancer Research. In his graduate research, Cam studied how tumor cell-intrinsic signaling networks contribute to targeted therapy failure using mass spectrometry-based proteomics, drug sensitivity assays, and statistical approaches for analysis of high-dimensional time-series molecular data. He was awarded a Goldwater Scholarship in 2016 and a graduate fellowship from the Ludwig Center at MIT in 2021 and 2022. At DFCI, Cam is interested in the biology underlying the earliest stages of cancer. Using experimental model systems and molecular data collected from human biopsies, his research aims to clarify the earliest genetic and biochemical events promoting the transition from premalignant to malignant tissue, which may identify opportunities for early cancer interception.
Curriculum Vitae
Personal Information
| Name: | Cameron Flower |
| Nationality: | American |
| Address: | Dana-Farber Cancer Institute, CLS Building, 3 Blackfan Circle, Boston, MA 02115 |
| Email address: | cflower [at] ds.dfci.harvard.edu |
Education
| 2013 – 2017 | Bachelor of Science, Biomedical Engineering, University of Connecticut |
| 2017 – 2024 | Doctor of Philosophy, Computational and Systems Biology, Massachusetts Institute of Technology |
Scientific Career
| 2014 – 2017 | Student Researcher, Neag Comprehensive Cancer Center, University of Connecticut School of Medicine |
| 2016 – 2016 | Biomedical Engineering Summer Intern, National Institutes of Health |
| 2018 – 2022 | Graduate Teaching Assistant / Head Grader, Analysis of Biomolecular and Cellular Systems (20.320), Massachusetts Institute of Technology |
| 2022 – 2022 | Computational Biology Intern, BioNTech US |
| 2018 – 2024 | Graduate Research Assistant, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Tehcnology |
| 2024 – present | Postdoctoral Fellow, Department of Data Science, Dana-Farber Cancer Institute |