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: Linear Algebra (CSCI 2820 or CSCI2897 or MATH 2130 or MATH 2135 or APPM 2360 or APPM 3310), and intended for students in their third or fourth years of Computing or other majors. 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 18 total credit hours.
