Students and Research Assistants

Inquiries about working with me as an undergraduate student: If you're a student at Georgetown and you can code and you're interested in machine-learning research, feel free to send me an e-mail or stop by during office hours for a chat. My preference is to start work on a project no later than the start of your junior year so you'll have opportunities to publish, work on a senior thesis, and work with me over a summer, preferably with funding from GUROP.

Inquiries about working with me as a graduate student: If you are interested in working with me as a graduate student, thank you for your interest! There is no need to contact me by e-mail. Only the Graduate Committee makes decisions about admission using only the required materials submitted through the application system. Your best course is to apply to our Ph.D. program and identify me as a prospective adviser in your statement. If the Graduate Committee determines that your application is competitive, then I will have an opportunity to review it. If the Graduate Committee admits you and if you decide to matriculate, then we can chat about working together. We do not pair students with advisors at the time of admission, and there is a number of people at Georgetown doing interesting work in machine learning, data mining, and related areas. If you feel you must contact me by e-mail, please include the word hopscotch in the subject so I know you've read this statement. Note that I do not open PDF document sent from people I do not know.

Previous

• Caroline Pattillo
  Project: Classification of legal documents
  Fall 2015 – Spring 2016
• Clare Singer, Montgomery Blair High School
  Project: Detection of outliers
  Summer 2012

• Michael Henry (now at PNNL)
  Project: Detecting vocal regions
  Summer 2009 – Spring 2011

• Ben Hood (G '10)
  Project: Machine learning for context-aware user interfaces
  Summer 2009 – Fall 2010

• Steve Bach (Maryland; now at Stanford)
  Project: Concept drift
  Support from GUROP
  Fall 2007 – Spring 2010

• Wade Tandy (now at Bloomberg Government)
  Project: Computer forensics
  Joint work with Clay Shields (PI) and Ophir Frieder
  Support from the Department
  Spring 2008 – Spring 2009

• Chris Wacek (now at Invincea Labs)
  Project: Computer forensics
  Joint work with Clay Shields (PI) and Ophir Frieder
  Support from the Department
  Spring 2008 – Spring 2009

• Ted Smith, Walt Whitman High School (now at Maryland)
  Project: Detection of polymorphic shell code
  Support from the Department
  Summer 2008

• Zico Kolter (Stanford, MIT; now at CMU)
  Thesis: Using additive experts to cope with concept drift
  Projects: Concept drift, Detecting malicious executables
  Support from GUROP, NIST, and MITRE
  Spring 2003 – Summer 2005

• Nancy Houdek (now at the Department of the Army)
  Project: Detecting malicious executables
  Support from MITRE and NIST (SURF)
  Fall 2004, Summer 2005

• Matt Krause (Yale; now at Montreal Neurological Institute)
  Thesis: A text-based approach for multimedia annotation and retrieval
  Support from JHU and NSF
  Fall 2004 – Summer 2005

• Will Headden (Brown; now at Amazon)
  Thesis: An evaluation of CVFDT on the STAGGER concepts
  Projects: Concept drift, Learning driving behaviors
  Support from NIST
  Summer 2002
  

• Tom Torsney-Weir (Simon Fraser)
  Project: Robot simulator
  Support from NIST
  Summer 2002
  

• Adrien Treuille (Washington; now at CMU)
  Project: Concept drift
  Support from the Department
  Summer 1999

• Kevin Forbes (now at MITRE)
  Project: Learning and vision
  Support from the Department and Graduate School
  Summer 1999

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