Soham Palande

Research at J.P. Morgan AI Research

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Hi, I’m Soham. I’m currently a research engineer in J.P. Morgan’s AI Research group, where I work within the Time Series team.

Research: My interests lie broadly in interpretability for sequential data — both mechanistic and statistical — with applications in finance and healthcare. I’m particularly focused on building scalable, interpretable tools/models for multi-modal models (specifically sequential) that exploit the geometric structure of the underlying data, loss surfaces, and domain-specific mathematical constraints.

Previously: I graduated from Rutgers University-NB majoring in Computer Science and Mathematics. I was an R&D intern at L3Harris where I worked on building anomaly detection models.

news

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May 10, 2022 I was awarded the Chancellor-Provost’s Research Excellence Award
May 5, 2022 I was awarded the Nicholas Novielli Prize for academic excellence by the Rutgers CS Dept.

selected research

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  1. Aresty
    Understanding Correlated Error Events in Quantum Computers
    Arpan Gupta, Michael Schleppy, Soham Palande, and 1 more author
    Aresty Research Symposium, Apr 2022
  2. Aresty
    Solar Irradiance Nowcasting Using All-Sky Imager Data
    Soham Palande, and Ahmed Aziz
    Aresty Research Symposium, Apr 2021