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Mimansa Jaiswal | Personal Website

This is a demo academic website made using montaigne with the content hosted on Apple Notes. The bunch of notes and the folder structure can be viewed here in case you get stuck or want to figure out how this works!

Hi, I’m Mimansa

I’m Mimansa, a final year PhD candidate in Computer Science (AI/Interactive Systems) at the University of Michigan. I am fortunate to be working with Prof. Emily Provost as part of the CHAI group. I completed my undergrad in Computer Engineering from Institute of Engineering and Technology, Indore in 2017, and worked with Prof. G.L. Prajapati for my bachelor’s thesis. Tl;dr: I work in the area of developing interpretable and human imitating evaluation and cost-effective data collection procedures. Other than research, I am interested in science communication, sketchnoting, personal knowledge management and cooking. One of my favorite activities during international conferences is to plan every single meal. I love cats, and they keep me sane. I have two: Oreo and Bert (yes, that Bert, you read it right!).

Research Interests

I am primarily interested in understanding what causes the state-of-the-art machine learning models to fail (Failure Analysis of ML models) or perform differently than expected (Evaluation of ML models), how these failure points can be used by an expert (Model Testing and Debugging) and predictions be explained to a general audience (Model Explanation) , how can we train or tune these models such that do not learn about certain variables (Robust and Private ML models), and how these models can benefit from known human knowledge (Expert Informed Machine Learning or Human-in-the-Loop ML).

Education

2017 - 2023 University of Michigan PhD in Computer Science and Engineering Advisor(s): Prof. Emily Provost 2017 - 2019 University of Michigan MS in Computer Science and Engineering Advisor(s): Prof. Emily Provost 2013 - 2017 IET DA Univ, India BTech in Computer Engineering Advisor(s): Prof. G.L. Prajapati

Experience

Fall 2021 Research Intern, Allen NLP, Allen Institute of Artificial Intelligence Mentor(s) : Ana Marasović Benchmarking interpretable and compositional evaluation for very large models in natural language processing Summer 2021 Research Intern, NLP Team, Facebook AI Research (Meta AI) Mentor(s) : Adina Williams; Scott Yih, Pedro Rogieruez Identifying, understanding, and correcting ambiguity based faliure points in Natural Language Inference (NLI) Summer 2020 Research Intern, Conversation AI, Facebook (Meta) AI Mentor(s) : Ahmad Beirami, Shane Moon, Satwik Kottur, Chinnadhurai Sankar Defining interpretable and generalizable user satisfaction metric informed by human knowledge Summer 2016 Research Intern, SENTIC Lab, Nanyang Technological University, Singapore Mentor(s) : Erik Cambria Multimodal detection of human behavior: empathy and deception Winter 2016 Research Intern, NLP and Sentiment Analysis (NLPSA) Lab, Academia Sinica, Taiwan Mentor(s) : Lun-Wei Ku Human perception of conversation sentiment visualization in chat interfaces Summer 2015 Research Intern, Indraprastha Institute of Information Technology (IIIT), Delhi Mentor(s) : Pravesh Biyani Finding the optimal routes under user specified user-constraints for last mile cab-pooling