Anjishnu Mukherjee

I completed my Bachelor’s Degree in Computer Science from IIEST Shibpur in 2021. Then I spent the next year or so working in a data science/ software development role at Wells Fargo. I have previously worked with the PAIR team at Google and mlpack as part of the Google Summer of Code program. I have also worked with the Computer Graphics and Virtual Reality Research Lab on research regarding continuous collision detection. I even have a couple of papers with researchers from MIT and University of Toronto regarding applications of deep learning methods to clinical procedures that help in reducing chances of post-colonoscopy colorectal cancer. For an updated list on my publications, please refer to my Google scholar profile.

I have started my PhD in Fall 2022 with the NLP group at GMU and my research interests lie in the following topics!

Research Interests

Disclaimer: I am new to research in NLP and might just be interested in something that is not yet in this list.

• Fairness, Interpretability and Explainability for language models
• Low resource NLP
• Multilingual NLP applications
• Adversarial attacks against language models and their defenses
• AI for healthcare

News

• [July 2023] Published a student paper at the AIES 2023 conference 📜
• [June 2023] Reviewed a paper for AIES 2023
• [June 2023] Completed coursework in advanced NLP with a grade of A+ 📚
• [Mar. 2022] Reviewed 3 papers for the AfricaNLP workshop at ICLR 2023 📖
• [Mar. 2022] Reviewed 2 papers for the 3rd edition of the AfricaNLP workshop at ICLR 2022 📖
• [Mar. 2022] Attended my undergrad convocation. Graduated top of my class 🥇
• [Sep. 2021] Attended a virtual workshop on Explainable AI organized by Caltech. Met Katie Bouman and Cynthia Rudin 🥺
• [Sep. 2021] Got cited for the first time ever!! 🎉
• [Jul. 2021] Started working at Wells Fargo. 💻
• [Jan. 2021] Submitted a conference paper describing my undergrad final year project at Computational Intelligence in Pattern Recognition(CIPR) 2021. 📜
• [Dec. 2020] Submitted 2 abstract papers at Digestive Disease Week(DDW) 2021. 📜
• [Mar. 2020] Received the DAAD WISE scholarship. One of 130 students from all over India. 🏆
• [Feb. 2020] Received the prestigious IAS (Indian Academy of Sciences) Summer Research Fellowship. 🏆

Academic Service

• Reviewing
  • AIES 2023
  • AfricaNLP 2023 workshop (ICLR)
  • AfricaNLP 2022 workshop (ICLR)

Publications

Please refer to my Google scholar profile for an updated list of all of my publications.

• A Study of Public Sentiment and Influence of Politics in COVID-19 Related Tweets
  Anjishnu Mukherjee, Souparno Bhattacharyya, Kinjal Ray, Balraj Gupta, Asit Kumar Das
  Computational Intelligence in Pattern Recognition. CIPR 2021.
  [Publication Link] [Project website]

• Automated Detection of Cecal Intubation With Variable Bowel Preparation Using a Deep Convolutional Neural Network
  DJ Low, Z Hong, S Jugnundan, A Mukherjee, SC Grover
  Digestive Disease Week. DDW 2021.
  [Publication Link] [Project Website]

• Automated Detection of Bowel Preparation Adequacy with Deep Convolutional Neural Networks
  DJ Low, Z Hong, A Mukherjee, S Jugnundan, SC Grover
  Digestive Disease Week. DDW 2021.
  [Publication Link] [Project Website]

Blogs

• I have written a few blogs, mostly during my period as a GSoC student. I always love to hear feedback on my writing :)

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