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PhD Student

Lohith
Konathala

Lohith is a PhD student in the DUCK Lab at Imperial College London, supervised by Dr. Eleonora Giunchiglia. He holds a BA, MEng in Information & Computer Engineering from Trinity College, University of Cambridge. His research broadly focuses on scalable constraint enforcement in neural networks with applications in quantitative finance. His research interests currently include incorporating domain knowledge into synthetic financial data generation and constrained deep learning methods for portfolio construction. He is particularly interested in applying this work to volatility trading, following an internship at Capstone Investment Advisors.

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News

  • 09-2026 Casper accepted as a Spotlight paper at NeurIPS 2026! 🎉✨ Huge congratulations to Lohith, Luca, and Eleonora — their paper Casper: A Projection-Based Neurosymbolic Layer for Scalable & Guaranteed Constraint Satisfaction has been accepted as a Spotlight paper at NeurIPS 2026, placing it among the top ~3% of submissions! It’s also Lohith’s first paper, in his first year of his PhD — a fantastic milestone! 🥳
  • 06-2026 Lohith joins Capstone as intern! 🎉 Huge congratulations to Lohith, who will be starting an internship at Capstone Investment Advisors — a fantastic match for his research on neurosymbolic AI in financial markets! ✨
  • 03-2026 Invited talk at the Neurosymbolic AI Workshop Lohith gave an invited talk at the Neurosymbolic AI Workshop on Neurosymbolic AI for safe financial portfolio construction.