Pavan Ravishankar
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I am a Computer Science PhD student at the Courant Institute of Mathematical Sciences, NYU, a member of ML4G lab. My PhD is fully funded by MacCracken fellowship. I am fortunate to have been advised by Prof. Daniel Neill, Prof. Balaraman Ravindran and Prof. Sudarsan Padmanabhan. My work is refined through dialogue and finds expression in scientific writing and code as practices of rigor, critique, and shared understanding--in no particular order.

I am interested in fundamental and applied questions in: 

• Model Stability: Data valuation using influence functions, min-max optimization, and signal detection
• Model Multiplicity: Optimize for fairness-accuracy trade-off that goes beyond zero-sum thinking
• Model Equity: Design equitable algorithms for human-aid in the ML/AI pipeline

Machine learning, Representation learning, and Algorithm design

• PC Member: EAAMO 2026
• Reviewer: EAAMO 2026, MURE AAAI Workshop 2026, EAAMO 2025, CODS COMAD 2024, DAI Workshop AAAI 2023
• Organizer: DEAADIGS Workshop ACM Web Science Conference, 2021

Sigma Xi

Prison Mathematics Project

If you're interested in working with me, please don't hesitate to reach out!!

• Fairness Without Demographics in Training through Variance-Preserving Rashomon Set Sampling                       
  Dai, G.*, Ravishankar, P.*, Yuan, R., Black, E.⁺, Neill, D.B.⁺                      
  Review                  
• Learning Representational Disparities                       
  Ravishankar, P.*, Shah, R., Neill, D.B.                      
  Preprint [Paper]                   
• Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set                       
  Dai, G.*, Ravishankar, P.*, Yuan, R., Black, E.⁺, Neill, D.B.⁺                      
  EAAMO 2025 [Paper] [Best Paper Honorable Mention]                   
• Provable Detection of Propagating Sampling Bias in Prediction Models                       
  Ravishankar, P.*, Mo, Q., McFowland III, E, Neill, D.B.                      
  AAAI 2023 [Paper]                  
• Financial Exclusion of Internal Migrant Workers of India during COVID-19: Can Digital Financial Inclusion be facilitated by AI?                       
  Ravishankar, P.*, Padmanabhan, S., Ravindran, R.                      
  JITCAR 2023 [Paper]                  
• A Causal Approach for Unfair Edge Prioritization and Discrimination Removal                       
  Ravishankar, R.*, Malviya, P.*, Ravindran, B.                       
  ACML 2021 [Paper]                   
               

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