Adam Louis Kenet
About Me
Adam is a first-year MD-PhD student from New York City. He graduated from Johns Hopkins University with a major in Biomedical Engineering (Immunoengineering focus area) and a minor in Computational Medicine. At Johns Hopkins, Adam joined Dr. Anthony Leung’s lab in the Department of Biochemistry and Molecular Biology, where he studied the biophysical properties of poly(ADP-ribose). He worked on projects using experimental and simulated smFRET data to investigate the flexibility of poly(ADP-ribose) polymers and their interactions with proteins. For his senior project, Adam led a team of students applying machine learning to clinical data (i.e., ECG, vital signs, and labs) to develop a risk score to predict cardiac arrest in the pediatric intensive care unit before onset. After graduation, Adam spent two years working in Dr. Grégoire Altan-Bonnet’s lab at the National Cancer Institute of the NIH. There, Adam used computational and experimental methods to model tumor response to CAR-T cells in order to understand tumor relapse behavior. He helped develop a Python package that automatically processes bioluminescent tumor images, quantifies tumor burden, classifies tumor behavior, and parametrizes tumor dynamics. He then applied this pipeline to a large set of pre-clinical experiments (n>1000 mice) conducted to assess the potency of CAR-T cells against leukemia. While in Maryland, Adam also worked as an EMT with the Baltimore County and Montgomery County Fire Departments.
Language
Position
Research Topics
Cancer, Cardiac Arrest and Resuscitation, Computational Biology, Immunology, Mathematical Modeling of Biomedical Systems, Personalized Medicine
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Cancer Biology [CAB], Disease Mechanisms and Therapeutics (DMT), Immunology [IMM]
About Me
Adam is a first-year MD-PhD student from New York City. He graduated from Johns Hopkins University with a major in Biomedical Engineering (Immunoengineering focus area) and a minor in Computational Medicine. At Johns Hopkins, Adam joined Dr. Anthony Leung’s lab in the Department of Biochemistry and Molecular Biology, where he studied the biophysical properties of poly(ADP-ribose). He worked on projects using experimental and simulated smFRET data to investigate the flexibility of poly(ADP-ribose) polymers and their interactions with proteins. For his senior project, Adam led a team of students applying machine learning to clinical data (i.e., ECG, vital signs, and labs) to develop a risk score to predict cardiac arrest in the pediatric intensive care unit before onset. After graduation, Adam spent two years working in Dr. Grégoire Altan-Bonnet’s lab at the National Cancer Institute of the NIH. There, Adam used computational and experimental methods to model tumor response to CAR-T cells in order to understand tumor relapse behavior. He helped develop a Python package that automatically processes bioluminescent tumor images, quantifies tumor burden, classifies tumor behavior, and parametrizes tumor dynamics. He then applied this pipeline to a large set of pre-clinical experiments (n>1000 mice) conducted to assess the potency of CAR-T cells against leukemia. While in Maryland, Adam also worked as an EMT with the Baltimore County and Montgomery County Fire Departments.
Language
Position
Research Topics
Cancer, Cardiac Arrest and Resuscitation, Computational Biology, Immunology, Mathematical Modeling of Biomedical Systems, Personalized Medicine
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Cancer Biology [CAB], Disease Mechanisms and Therapeutics (DMT), Immunology [IMM]