Dr Tirtharaj Dash

Research Associate (Computational), CRUK CI
Postdoctoral Affiliate of Trinity College, Cambridge

Contact information

07362202236

CRUK Cambridge Institute
Li Ka Shing Centre
Robinson Way
Cambridge
CB2 0RE
United Kingdom

Biography

I am a Research Associate at the University of Cambridge, UK. I am also a Postdoctoral Affiliate of Trinity College, Cambridge. I am currently working on several exciting research problems concerning codon usage, optimality and, in general, knowledge discovery from large-scale genomic data. I am focusing on developing novel ML approaches, such as Neuro-Symbolic Models and Deep Neural Networks, to learn from genomic sequences. Prior to this position, I was a Postdoctoral Scholar-Employee at the University of California San Diego. In general, my research areas of interest are Deep Learning, Neuro-Symbolic Models, Graph Representation Learning, and Machine Learning for Science. I completed my PhD in Computer Science from BITS Pilani in July 2022. I completed my doctoral research during Jan 2017 to April 2022 under the supervision of Senior Professor Ashwin Srinivasan. The title of my PhD thesis is “Inclusion of Symbolic Domain-Knowledge into Deep Neural Networks”. For more details, please visit my homepage, which is usually updated often: https://tirtharajdash.github.io/

Research interests

Neuro-Symbolic AI, Deep Learning, Graph Representation Learning, Machine Learning, Computational Biology

Keywords

Computational biology, Deep learning, Machine learning

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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