Chaitanya Kulkarni

About Me

Hey there, welcome!

I am a Ph.D. student at Ohio State Univeristy. I am extremely fortunate to be working with and currently advised by Prof. Raghu Machiraju, Prof. Eric Fosler-Lussier.

I completed my M.S. in Computer Science and Engineering at Ohio State University, focusing on Artificial Intelligence and Computer Vision. And, I obtained my bachelor's degree from the Department of Computer Science and Engineering at the National Institute of Technology, Karnataka, India.

Research Interest

My current research focuses on developing semantic parsers for wet-lab protocols to extract their canonical machine-interpretable representations to facilitate automation. A wet lab protocol lists steps to be completed in an experiment typically conducted in a biochemical laboratory or a biotech enterprise. Large-scale semantic analysis of the wet lab procedures would enhance automation by developing a deeper scientific understanding of the underlying material synthesis. It would enable the transformation of human-readable procedures into machine-encodable sequences. This necessitates the construction of structured canonical representation in process graphs that capture the order of material formation described in wet lab procedures.

In summary, this research will lay the foundation for facilitating the evaluation and automation of wet lab procedures by developing a framework to conduct a large-scale analysis of wet lab procedures, which will be enabled by defining and automating the generation of structured representations from raw text.

Publications

Preprints and publications:

• Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols
  Chaitanya Kulkarni, Jany Chan, Eric Fosler-Lussier, Raghu Machiraju
  ACL-IJCNLP, 2021
  [code] [demo]
• An Annotated Corpus for Machine Readingof Instructions in Wet Lab Protocols
  Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju
  NAACL-HLT, 2018
  [arXiv] [code] [demo]
• Imitating pathologist based assessment with interpretable and context based neural network modeling of histology images
  Arunima Srivastava, Chaitanya Kulkarni, Kun Huang, Anil Parwani, Parag Mallick, Raghu Machiraju
  Biomedical Informatics Insights, 2018
  
• Building Trans-Omicsevidence: using imaging and omics to characterize cancer profiles
  Arunima Srivastava, Chaitanya Kulkarni, Parag Mallick, Kun Huang, and Raghu Machiraju
  PSB, 2018
  
• Joule Jotter: An interactive energymeter for metering, monitoring and contro
  Prabhakar T.V, Nisha Bhaskar, Tejas Pande, Chaitanya Kulkarni.
  IWDP co-located with ACM e-Energy, 2014

You can find source code for all of my other projects on my GitHub page.

Contact

Email

kulkarni.132 ~at~ osu ~dot~ edu