C-SURF ALUM
Kamaria Campbell (2008)
Project: Robotics
The Robotics research goal is to apply and integrate techniques from reinforcement learning, machine vision, robust localization and mapping, and robotic behavior, locomotion, and control systems to complex dynamic domains such as robot soccer and rescue tasks using Sony AIBO robots and simulation environments.
Advisor: Jeffrey Forbes
Matthew Edwards (2008)
Bio: Matt is from Cary, North Carolina. He worked with Prof. Alex Hartemink on machine learning and computational biology problems, focusing on transcription regulation. He was an intern at Microsoft and Google and is now working at a biotechnology startup.
Project: Machine Learning and Computational Systems Bioloby
This project focuses on the development of new techniques, and application of existing techniques, in machine learning for solving problems in complex systems biology, including how genes regulate their expression, how cells control their replication cycle, and how brains process information during learning tasks.
Advisor: Alex Hartemink
Patrick Paczkowski (2007)
Bio: Patrick is a Polish/Canadian dual citizen, and graduated from Duke University in '07 with a double-major in Computer Science and Mathematics. Currently, he is pursuing a PhD in Computer Science at Yale in the area of Computer Graphics. His research includes the development of a 3d sketching system for architectural design.
Project: Classification of Biologically Distinct Regions of the Human Genome Based on Genome Sequence Features
This research project is broadly in the field of computational biology and more specifically in genome sequence analysis. Current projects focus on developing machine learning based classifiers to predict regions of early replication and genes susceptible to hypermethylation in cancer.
Advisor: Terry Furey
Katherine Trushkowsky (2007)
Bio: Beth, from New Jersey, majored in Computer Science and graduated from Duke in Spring 2007. She began graduate work focusing on database systems research in Fall 2007 in the Ph.D. program at University of California, Berkeley. Beth plans to pursue either academia or industry research after graduate school.
Project: Robotics
The Robotics research goal is to apply and integrate techniques from reinforcement learning, machine vision, robust localization and mapping, and robotic behavior, locomotion, and control systems to complex dynamic domains such as robot soccer and rescue tasks using Sony AIBO robots and simulation environments.
Advisor: Jeffrey Forbes