STUDYING CANCER EVOLUTION
through computation, experiment, and theory
Jacob Scott, MDPrincipal Investigator
Associate Staff, Departments of Translational Hematology and Oncology Research and Radiation Oncology
I'm a radiation oncologist who specializes in the care of patients with Sarcoma and a theoretical oncologist who thinks about the fundamental evolutionary mechanisms driving therapeutic resistance. When I'm in the lab, I think about the evolution of resistance and spends my time working with, and mentoring my lab mates - with whom I feel incredibly lucky and honored to work. When I'm not working I like to spend time reading to, and playing with my kids, spending time with my wife and walking in the woods with my dog.
LAB MEMBERS (LISTED ALPHABETICALLY)
I am currently pursuing a DPhil in Oncology at the University of Oxford, co-supervised by Dr. Jacob Scott, Dr. Francesca Buffa, and Dr. Adrian Harris. My DPhil thesis is focused on the roles of non-coding RNA (microRNA and circular RNA) in cancer. As I have trained in medicine and mathematics, my interests span clinical neurology and oncology, medical genetics, computational biology, and mathematical biology. I also love to learn about people and cultures, spend time with friends, run, and read!
Masahiro Hitomi, MD, PhDEmail: firstname.lastname@example.org
The first patient, whom I saw as a medical student, was suffering with an incurable disease. This experience motivated me to step into the field of scientific research trying to find something new that may benefit medical treatment. My research interest is to understand how extrinsic environment modifies intrinsic molecular programs that control critical cellular decisions such as cell cycle progression, cell death, and cell fate choice. Currently I am studying the asymmetric cell division in cancer stem cells and the therapeutic resistance in cancer cells. In daily life, I occasionally find that the pair of socks I am wearing are asymmetrical.
Artem is developing algorithmic biology: using theoretical computer science to structure evolutionary theory. Unlike physics-inspired theories, algorithmic biology doesn’t rely on simple well-controlled systems but abstracts over arbitrary micro-dynamics. As such, Artem views poorly-characterized cancer cells not as a domain in which to apply existing biological knowledge, but an experimental system with which to learn about evolution. You can find him working on his DPhil in the Computer Science department at the University of Oxford, supervised by Peter Jeavons and Jake. He also thinks about evolutionary game theory and philosophy of science and works closely with David Basanta and Andriy Marusyk. Learn more about algorithmic biology and Artem's other interests at the Theory, Evolution, and Games Group.
Nikhil is a second year medical student who can not decide if he wants to be an infectious disease doctor or an energy healer. He can usually be found with an aquarium pump and an arduino - but to what end?
Linh HuynhEmail: email@example.com
I am a first-year PhD student in Applied Mathematics at Case Western Reserve University (CWRU). I am working with Dr. Jacob Scott and Dr. Peter Thomas (CWRU) on stochastic methods in cancer dynamics. In addition to doing research, I also love teaching and mentoring students.
Erin McClureEmail: firstname.lastname@example.org
I am a research technician for Dr. Scott. My background is in experimental evolutionary biology. One of my primary roles is helping build a morbidostat. In addition to assisting lab members with the microbiology aspects of their projects, I am preparing to apply to medical school. When I am not performing scientific miracles, I enjoy spending time with my dog, horseback riding, and reading.
Inom Mirzaev, PhDEmail: email@example.com
Personal Homepage, Google Scholar, GitHub
I am a joint postdoc with the Mathematical Biosciences Institute at Ohio State University. Currently, I am investigating the emergence of resistance to castration therapy in patients with prostate cancer. I am also interested in applications of deep learning in automated segmentation of structures from MRIs. When I am not coding and doing math, I like to bike, play basketball/soccer and watch soccer games.
Julia PeleskoEmail: firstname.lastname@example.org
I am an undergraduate student at Case Western Reserve University studying Physics and Biomedical Engineering. My favorite reads are The Odyssey and QED by Feynman. When the weather is nice, I enjoy horseback riding and hiking. On rainier days, I’m usually hidden away in a coffee shop somewhere writing.
I’m an MD/PhD student in the Medical Scientist Training Program at Case Western Reserve University. In lab, I’m researching the evolution of cancer cell resistance to therapy using open-source databases and R software. When I’m not in class, I can usually be found feeding my dog way too many treats or trying restaurants around town.
I am currently a PhD Candidate in Systems Biology and Bioinformatics at Case Western Reserve University’s School of Medicine. My research is focused on evolution of therapeutic resistance in cancers, both experimentally and computationally. Experimentally, I am working on evolving resistance to standard of care treatments for Ewing Sarcoma, and assaying secondary treatment effectiveness throughout this evolution. Computationally, I am exploring the more theoretical concept of drivers and passengers in cancer, and their effect on clonal structure. Outside of the lab, I like to cook, swim, and spend time with my rabbit, Kat.
I am a medical student interested in the application of mathematical and computational tools in medicine. Currently in Theory Division, I am working on using topological data analysis to gain new insights from genomics datasets. In my free time, I enjoy playing racquet sports, particularly racquetball, squash, and tennis.
I am a 4th year medical student at Case Western doing a research year with Dr. Scott before entering residency training in Anatomic Pathology. My projects include the modeling of lung cancer with evolutionary game theory, RNA-Seq data analysis using network theory, and building a morbidostat. I am additionally interested in issues in digital and computational pathology.
I am a postdoctoral research fellow working on dynamical modeling of tumor cell populations using a combination of dyanmical systems theory and stochastic models. My principle interest is the study of the emergence of resistance in the tumors developed during cancer therapy. The main purpose of the research is to find optimal strategies of utilizing available treatments to cure cancers.
- Email: email@example.com
- Cleveland Clinic
Department of Translational Hematology and Oncology Research
Lerner Research Institute
2111 E. 96th Street NE6
Cleveland, Ohio 44106