Mark Maloof :: Students

Students and Research Assistants

Inquiries about working with me as an undergraduate student: I am on sabbatical for the 24–25 academic year, so I am not taking on additional students. Generally, if you are a student at Georgetown and you can code and you are 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 by the end of your sophomore year but no later than the start of your junior year so you will have opportunities to complete a senior thesis, publish, and work with me during the summer between your junior and senior years, preferably with funding through SMURF.

Inquiries about working with me as a doctoral student: I currently do not have a position for a doctoral student. There are several people in the department working in the area of machine learning who are actively recruiting Ph.D. students. However, only the Graduate Committee makes decisions about admission using only the required materials submitted through the application system. Individual professors can not make offers of admission. As a consequence, I do not respond to individual requests to join my lab.

Your best course is to apply to our Ph.D. program and identify individual professors as prospective advisers in your statement. If the Graduate Committee determines that your application is competitive, then the people you have identified will have an opportunity to review your application. We do not pair students with advisers at the time of admission. If the Graduate Committee admits you, it means that at least one professor is interested in working with you and can fund you. If you decide to matriculate, you have up to two semesters to find an adviser.

Previous Students

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, Stanford; now at Brown)
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, CMU; now at Streamlit)
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