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- 12/23: Gave President’s Remarks and mentored a roundtable on Trustworthy ML at the 2023 Women in Machine Learning Workshop @ NeurIPS.
- 7/23: I will be co-organizing a workshop at NeurIPS 2023 on Regulatable ML. Submit your paper!
- 7/23: Gave President’s Remarks at the 2023 Women in Machine Learning Un-Workshop @ ICML.
- 1/22: I was on a panel on post-phd plans organized by Cornell University’s Graduate Students for Gender Inclusion in Computing.
- 12/21: Mentored a roundtable on causal inference at the 2021 Women in Machine Learning Workshop @ NeurIPS.
- 6/21: I will be a discussant at the International Seminar on Selective Inference. Looking forward to discussing model distillation!
- 5/21: It was fun to (virtually) chat with Smith College Intro ML students about starting out in ML and ML careers.
- 12/20: My third year mentoring a roundtable on seeking funding: fellowships and grants at the Women in Machine Learning Workshop @ NeurIPS!
- 10/19: Gave a talk at Data & Society’s Meeting on Fair ML in Health about risk scoring models in healthcare.
- 7/19: Had a blast helping out with UCSF’s AI4ALL program! I presented on dataset bias and helped mentor a project team using electronic medical records to predict opioid overdose and other conditions.
- 4/19: I will be giving a talk at Columbia’s Data Science Institute in the Data for Good seminar series.
- 4/19: Received the inaugural MA alum of the year award from Columbia’s Statistics Department. Beyond honored!
- 3/19: Excited to help teach the new ML for biomedicine course at UCSF. This is perhaps the first official ML course at UCSF and I’m looking forward to teaching again!
- 1/19: I gave a talk at Microsoft Research during the AI residents’ lunch seminar. It was really nice to meet the AI residents!
- 12/18: I’m co-organizing a workshop at ICLR 2019 on Debugging ML models. Submit your paper or demo!
- 11/18: I will be giving a talk at AT&T Labs’ Graduate Student Symposium.
- 10/18: I presented a poster at Microsoft Research’s PhD Summit Workshop.
- 6/18: Honored to receive a Microsoft Research Dissertation Grant.
- 5/18: Back at UC Santa Cruz again to give guest lecture on interpretability.
- 4/18: I’m now affiliated with Cornell’s Algorithms, Big Data, and Inequality program.
- 4/18: I visited Novartis Pharmaceuticals’s Statistics Methodology Group for a week where I gave a talk, learned more about clinical trials, and had some very interesting brainstorming sessions around causal inference.
- 3/18: I am giving talks at UC Santa Cruz and UCSF.
- 2/18: I will be giving an oral talk at AIES 2018 and participating in the doctoral consortium.
- 1/18: Attending BIRS Workshop on Machine Learning and Statistical Inference.
- 6/17: Grateful to receive the American Statistical Association Wray Jackson Smith Award
- 3/17: My project evaluating the impact of later school start times in NYC public schools has received an Engaged Cornell grant. You can read more about it here and here.
- 1/17: I presented a poster at Amazon’s Graduate Research Symposium.
- 8/16: I’ll be spending 6 months investigating dynamic topic models for long-term text corpuses thanks to a Harmony Institute Research Fellowship.
- 12/14: It was only months ago that I first learnt design thinking from a course in Cornell’s MBA program. Then we spent spring break visiting the Stanford d.school and solving a design thinking challenge for Airbnb. Facilitating a design thinking workshop at Cornell wraps up this adventure. Read about the workshop here.
- 10/14: The American Statistical Association interviewed me and other statistics fellows about our experience in the Data Science for Social Good Fellowship. It was a great program, highly recommended if you are looking to explore the data for social good space.
- 7/14: I had great fun co-organizing (together with Sabina Tomkins) an “evil” hackathon for my fellow Data Science for Social Good fellows. Read about it here.