Joining the Group
Can I join your group as a graduate student?
I am currently seeking outstanding graduate students to join my research group.
If you are currently a Harvard graduate student or have already been admitted, please send me an email or drop by my office.
If you are not currently a Harvard graduate student, then please apply through the normal channels. The School of Engineering and Applied Sciences (SEAS) provides information on graduate admissions at the following URLs:
Note that individual faculty members do not have direct control over admissions and funding. Applications are typically due in mid-December, with the admissions committee meeting in the spring, but see the links above for details. Note also that it is necessary to take the general Graduate Record Examination (GRE) and perhaps also the Test of English as a Foreign Language (TOEFL). Additionally, letters of recommendation are extremely important.
- I am an undergraduate. Can I work in your group for the summer?
If you are a Harvard undergraduate, please send me an email or drop by to chat.
Unfortunately, there are no such positions available for non-Harvard students.
- Will you supervise my senior thesis?
The best way for us both to figure out if I am a good fit for you as a senior thesis advisor is for you to take one of my courses. If you've done that and had a great time, then please do get in touch.
- Can I do an out-of-term internship in your group?
If you are currently a student at Harvard or at one of the schools that cross-registers with Harvard (e.g., MIT, Wellesley), you're welcome to contact me. If you are not a student at one of these universities, I cannot offer you such a position.
Bayesian Online Changepoint Detection
- In your paper on Bayesian Online Changepoint Detection, you discuss a Python toolkit. Where is it?
The Python code was lost in a computer failure. You can find Matlab code here.
- I wish to apply your method to another kind of data, but I don't understand the model. Can you help me?
I am sorry, but I get many requests of this type and I cannot accommodate them. The best I can suggest is for you to learn more about Bayesian modeling from excellent resources such as videolectures.net, and excellent books by Chris Bishop and David MacKay.