Undergraduate Research

Prof. David Aldous regularly sponsors undergraduate research projects. Students must attend an informational meeting at the beginning of each semester. Check Prof. Aldous's website http://www.stat.berkeley.edu/~aldous/Research/Ugrad/ugrad_res.html for more information.

Refer to the Office of Undergraduate Research (research.berkeley.edu) for a listing of other research opportunities, resources and upcoming workshops.


Spring 2013 Undergraduate Research Project Descriptions
Instructions on how to apply are listed within each project description. Deadlines vary but are generally in late January.

Probability, Data and Simulation

Professor David Aldous, aldous [at] stat [dot] berkeley [dot] edu

Interest Meeting Thursday, JAN. 24, 2013 at 5PM

I supervise two different styles of projects.

(i) Finding and studying interesting real-world data for which some notion of chance is involved. Requires initiative and imagination!  

(ii) Simulating, and drawing graphics of, math models of random processes. Requires serious coding skills!

See website http://www.stat.berkeley.edu/~aldous/Research/Ugrad/ugrad_res.html for examples. 

Hours per week: Variable but weekly meeting required
Location: Evans Hall
How to apply:

(1) Read about the style of projects on the website.
(2) Attend organizational meeting Thursday January 24 at 5:00pm, place TBA (see website).

You are more likely to be accepted if:

(a) you come to the meeting with some rough ideas about a project you would like to do; and
(b) you email me, before the meeting, about your relevant skills and interests, plus whatever rough ideas for a project you have.


Texture based tissue classification

Professor Bin Yu, binyu [at] stat [dot] berkeley [dot] edu
Erwin Frise, erwin [at] fruitfly [dot] org
Antony Joseph, antony [dot] joseph [at] stat [dot] berkeley [dot] edu

Applications DUE 12pm, Jan. 25, 2013 in 367 Evans Hall

Developing fruitfly embryos are composed of various tissues that could possibly be classified by using their textures. In this project the student would manually segment a set of images into tissues as training and test datasets. The student would use existing texture measurements and apply them to the manually segmented tissues. Finally, s(he) would try to visualize the texture features to investigate if any of them can be used as to distinguish the tissues. 

Website: insitu.fruitfly.org
Hours per week: 10-15
Location: Evans Hall or LBL Potter St. Campus
Requirements: The student is expected to know basic statistics and Photoshop. Knowledge of Linux and basic programming would be a plus.

How to apply:
Submit Undergraduate Research Application, Statement of Interest, and your most recent transcript (from Bear Facts) to Denise Yee in 367 Evans by 12pm, January 25, 2013.