Faculty/Group Assimilation
Yue Crew
(Insert Date)
Objectives
A check-in on questions, expectations & concerns which need to be clarified
The group would like to understand
Objectives
Promotes group harmony by surfacing issues and proposing constructive changes
Develop comfort and sets a climate of openness
Ensures organizational effectiveness
Additional Incentives:
Timeline
Session 1: Data Generation & Data Review (2 hours)
Session 2: Data Discussion & Next Steps (2 hours)
Ground Rules for Session 1
Everyone has opportunity to speak, but don’t speak over each other
Speak openly, can re-frame wording later
What is said in the session stays in the session
Truly a brainstorm
Feedback is meant as a “gift”
Outline of questions
Example Student Feedback/Questions
& Faculty Responses
Example group feedback/questions in red
Example faculty responses in blue
Q1: What do you know about your Professor?
Yisong: I typically like to add a few photos
Q2: What do you not know but would like to know?
(A few example responses in subsequent slides, professor should address all questions)
What works is Yisong most / least proud of
The most fulfilling personal journey is seeing my thesis work have impact in a broad range of “recommender” systems that include clinical therapies.
The most exciting is typically the next cool result someone from the group discovers that is surprising and thought provoking.
The least proud are flawed projects that I rushed and am now embarrassed to have my name attached to.
What is the group’s mission?
Apply machine learning to the hardest problems we can (and in a way that matters), study why it breaks, and ultimately understand machine learning better.
Caveats & Notes:
What characteristic is Yisong is most proud of / dislikes in his students (in general, and not individually)?
Proud of: Being driven by genuine curiosity and asking big questions.
Dislike: Not much, really. I think I was less patient when I was a new professor, but now I’ve learned that each student needs to find themselves & their research vision at their own pace (and it’s also a multi-faceted process), and I’m mostly content to help nurture that along rather than force things. (I realize this answer is somewhat controversial given the later discussion items.)
Q3: What is working well and should not be changed?
(Typically no faculty response needed to this question.)
Q4: What isn’t working well and should be changed?
(A few example responses in subsequent slides, professor should address all comments)
He could do a better job with high-level vision, not just individual papers, but the collection of papers for your PhD
I don’t think it’s my place to impose a high-level vision on to any student.
I view my role as helping the student sharpen their own high-level vision.
The main place for a student to start practicing is a thesis proposal (so the sooner the better for that).
Generally speaking, the foundation of a thesis proposal is your first “main” result, and the thesis grows from reflecting on the implications of that result and extrapolating.
He could be more critical of our work - we want him to make us better.
“More critical” can mean a few different things.
Some scattered thoughts:
Additional feedback welcome.
Giving more explicit feedback on presentation style, e.g. how to bring people up to speed in the 1st part of the talk. Foster people giving each other feedback.
Q5: What expectations do you have of your professor?
(Most comments don’t require faculty response)
Q6: What expectations should your professor have of the group?
(Most comments don’t require faculty response)
Q7: What is working well or not working well in terms of group dynamics?
(Professor should directly address things that are not working well)
Q8: Are there any immediate changes/decisions for your Professor?
(Most professor responses can be deferred until action items at the end)
Q9: How would you like ongoing feedback?
(Most comments here do not require specific professor response)
Q10: What is your professor doing right?
Action Items
Provide better guidance about crafting a research vision
Be more proactive about providing critical feedback
Establish more standardized framework for funding (social & compute/hardware)
Set up a more decentralized & regular group meeting structure. Weekly? With Food?
Restructure group meetings so that more students get something useful out of it