Our Team

Our Team

Felix Dietlein, MD PhD

Principal Investigator

Dr. Felix Dietlein is an Assistant Professor at Harvard Medical School and faculty in the Computational Health Informatics Program at Boston Children’s Hospital. He is also an Associate Member at the Broad Institute of MIT and Harvard and an Investigator at the Dana-Farber Cancer Institute. He holds an MD and PhDs in mathematics and molecular medicine. He completed his postdoctoral training at Dana-Farber.

His mission is to advance precision medicine by identifying molecular vulnerabilities in tumor genomes, translating them into targeted therapies, and improving diagnostics in the clinical setting. His multidisciplinary training in medicine, biology, and mathematics allows him to approach complex problems from diverse perspectives. He is dedicated to training the next generation of interdisciplinary scientists by providing mentorship to researchers at various stages in their careers and integrating them into an inclusive and collaborative laboratory environment.

Matti Corren

Medical and Computer Science Student, Hebrew University of Jerusalem (remote)

Matti Corren’s research aims to build machine learning-based classifiers based on methylation and cell-free DNA for early-stage detection of precancer lesions in tumor patients. He combines cancer genomics mechanisms with clinical observational phenotypes to define early lesions that prime cells for tumor development.

Aniket Dey

Research Intern

Aniket Dey studies interactions of tumor cells and the microenvironment. He pairs functional data from cell lines with genomic profiles from cancer patients to dissect mechanisms that allow tumors to spread to distant organs. He also combines tumor biology with aspects of public health for harmonizing the assessment of personalized cancer risk across demographics.

Antti Haekkinen, PhD

Incoming Senior Postdoc

Dr. Antti Haekkinen has in-depth expertise in computational methods for phenotype profiling and an established track record of analyzing multi-omics data of ovarian cancer. His long term vision is to advance personalized medicine by the rational design of combination therapies that leverage mechanisms in noncoding cancer genomics, DNA repair, and the translational potential of clinical data.

Mirue Kang

Incoming BSc student, Brandeis

Mirue Kang is an incoming undergraduate student at Brandeis University. Her research focuses on defining genomic loci that confer risks for cancer phenotypes, identifying differences between normal and epithelial cancer stem cells, and applying genetic risk scores to personalized medicine.

Ian Lo, BSc

MSc student, Harvard

Ian Lo is a master’s student in the Health Data Science program at the Harvard T.H. Chan School of Public Health. Her research interests include the use of machine learning and other computational approaches to studying human genetic diseases and disorders.

Vatsal Parikh

Alumni (Research Intern 2022)

Vatsal Parikh’s research focuses on applying machine learning techniques to tumor expression profiles, pairing them with data from scalable experimental assays, and inspiring the design of targeted therapies. He also designs interactive web resources to communicate his science to a broad audience.

Yi-Ting Tsai, BSc

MSc student, Harvard

Yi-Ting Tsai is a master’s student in the Health Data Science program at the Harvard T.H. Chan School of Public Health. Her research focuses on developing new computational strategies for maximizing the value of sequencing in patient care by pairing clinical with genome data.

More detailed profiles are coming soon!
Please see www.chip.org/people (bottom of the page) for an overview of the profiles of other CHIP Fellows for now.

Join Our Team

Please contact us to learn more about
career opportunities and the philosophy of our lab.