Orit Peleg seeks to understand the behavior of disordered living systems by merging tools from physics, biology, engineering, and computer science. Peleg draws from a multidisciplinary background; she received a B.S. in physics and computer science and an M.S. in physics from Bar-Ilan University in Israel. She completed her Ph.D. in material science at ETH Zurich, where she began modeling competitive interactions in biophysical systems. Dr. Peleg used computational techniques to study a wide range of protein interactions, from fibronectin chains and fibers to the dynamic behavior of actin filaments. During postdoctoral work at Harvard University, Dr. Peleg became invested in a broad range of biophysics research. She began investigating order and disorder in protein evolution, which progressed to an interest in the organization of insect swarms. Dr. Peleg pursues a dynamic line of inquiry, leveraging tools from one discipline to answer questions in another.
keywords
Collective Behavior, Local Sensing, Distributed Systems, Physics of Living Systems
CSCI 4314 - Dynamic Models in Biology
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023
Surveys computational and mathematical modeling to illuminate biological processes. Students work together to learn to build and analyze models using a variety of numerical tools, tackle meaningful biological problems, and communicate effectively across disciplines. Specific topics: Langevin dynamics of protein folding, agent-based models, finite difference models of organismal growth, stochastic and deterministic cellular automata game of life, models of behavior. Recommended prerequisite: comfort with mathematics and/or programming experience, and more advanced understanding (upper undergraduate level) of any relevant discipline. Same as CSCI 5314.
CSCI 4831 - Special Topics in Algorithms
Primary Instructor
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Spring 2018
Covers topics of interest in computer science at the upper-division undergraduate level. Content varies from semester to semester. Only 9 credit hours from CSCI 4830 and/or CSCI 4831 can count toward Computer Science BS or BA.
CSCI 5314 - Dynamic Models in Biology
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023
Surveys computational and mathematical modeling to illuminate biological processes. Students work together to learn to build and analyze models using a variety of numerical tools, tackle meaningful biological problems, and communicate effectively across disciplines. Specific topics: Langevin dynamics of protein folding, agent-based models, finite difference models of organismal growth, stochastic and deterministic cellular automata game of life, models of behavior. Recommended prerequisite: comfort with mathematics and/or programming experience, and more advanced understanding (upper undergraduate level) of any relevant discipline. Same as CSCI 4314.
CSCI 5423 - Biologically-inspired Multi-Agent Systems
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023
Explores the principles and emergent properties of collective dynamics through computational modeling and theory. Focuses on multi-agent systems using insights from biology, like the self-assemblage of cells and insect colony behavior. Topics include designing swarm intelligence, networked agents, cellular computing and self-assembly, optimization, synchronization, and evolutionary computation. Uses cross-discipline research developments to practice applied techniques. Biology background is not required. Recommended prerequisite: CSCI 2270 and basic knowledge of programming.
CSCI 7000 - Current Topics in Computer Science
Primary Instructor
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Spring 2018
Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.
