Research Experience

  1. Graduate Researcher — Di-Higgs ($HH \to bb\tau\tau$) Analysis (Run 3)

    Purdue University · CMS Collaboration
    • Develop the $HH \to bb\tau\tau$ analysis in boosted and semi-resolved topologies using Run 3 data.
    • Combine nominal + scouting trigger streams; leverage the group’s Scouting GloParT tagger for improved reconstruction in the scouting data stream.
    • Build and validate optimized selection strategy targeting sensitivity to the Higgs self-coupling $\kappa_\lambda$.

  2. Research Fellow — Hardware-Aware Pruning for Real-Time Detector Readout (FPGA/ASIC)

    CERN · CMS Collaboration (PQuant / hls4ml)
    • Develop structured pruning methods for FPGA/ASIC deployment under DSP/BRAM constraints.
    • Develop PACA (Pattern-Aware Channel-wise Approximation) to select a minimal kernel-pattern set, reducing logic and memory footprint without accuracy loss.
    • Integrate into PQuant and maintain end-to-end compatibility with hls4ml-based HLS workflows.

  3. Graduate Researcher — Training-Time Sparsity Enforcement (MDMM, Keras)

    Purdue University · Fermilab · SmartPixels Collaboration
    • Developed an MDMM-based pruning framework in Keras to enforce target sparsity in a single training pass.
    • Treat sparsity as a differentiable constraint via a Lagrange multiplier, preserving high accuracy while reducing compute for real-time applications.
    • Integrated into PQuant; compatible with hls4ml flows.

  4. Graduate Researcher — MaPSA Characterization & Outer Tracker Contributions

    Purdue University · Fermilab
    • Characterize MaPSA modules at Purdue and Fermilab test facilities (leakage current, pixel/mask integrity, bump-bond quality and bad-bump inspection).
    • Contribute to ongoing Outer Tracker testing and qualification efforts.

  5. Graduate Researcher — SmartPixels On-Pixel Featurization (ML Tracking)

    Purdue University · Fermilab · SmartPixels Collaboration
    • Develop ML for on-detector readout to enable fast data reduction for single-layer silicon tracking.
    • Predict hit parameters and uncertainties for downstream layers, enabling selective retention of relevant information under strict latency/compute constraints.

  6. Master’s Thesis — QPO Modeling via Nonlinear Hydrodynamical Resonances in Accretion Disks

    Indian Institute of Science (IISc)
    • Modeled QPO frequencies using modified epicyclic frequencies derived for fluid motion (vs. test-particle motion) in accretion disks.
    • Fit observational data to infer masses and spins of neutron stars and black holes across multiple sources.

  7. Research Intern — Low-Energy Dark Matter (XENON, S2-only) + ML Depth Estimation

    Purdue University · XENON Collaboration
    • Worked on S2-only analysis for low-energy interactions in liquid xenon detectors, extending sensitivity to lower energies.
    • Developed ML methods to estimate interaction depth directly from the S2 waveform.

  8. Summer Research Fellow — Unsupervised Clustering of Gaia XP Spectra (200M+)

    California Institute of Technology (Caltech)
    • Built latent representations of Gaia XP spectra with autoencoders and clustered sources using Gaussian Mixture Models.
    • Scaled analysis to a 200M+ source archive to estimate the number of distinct spectral classes.

  9. Bachelor's Thesis — Rotating Black Hole Solutions in Modified f(R) Gravity

    Indian Institute of Science (IISc)
    • Studied asymptotically flat $f(R)$ gravity models and applied the Newman–Janis algorithm to derive rotating solutions.
    • Quantified changes in key radii (e.g., $r_\mathrm{ISCO}$, $r_\mathrm{MB}$, horizon radius) vs. modification parameter and derived small-parameter analytic approximations.

  10. Research Project (Variational Quantum Linear Solver)

    Indian Institute of Science (IISc)
    • Mentor: Sudhir Vempati.
    • Formulate Hamiltonians and 2-design ansätze for solving complex-valued linear systems with variational algorithms.
    • Implement scalable constructions across n-qubit spin systems with attention to accuracy vs. resource cost.

  11. Research Project (Accretion Disk Physics)

    Indian Institute of Science (IISc)
    • Mentor: Prof. Banibrata Mukhopadhyay.
    • Study gas/plasma dynamics and accretion theory from binary accretion through Shakura–Sunyaev disks.
    • Extend to relativistic accretion frameworks (Bondi accretion; Novikov–Thorne disks).

  12. Research Project (Inflation + Ultralight Axions as CDM)

    Raman Research Institute (RRI)
    • Mentor: Prof. Shiv K. Sethi.
    • Study inflationary dynamics and non-minimally coupled ultralight axions as cold-dark-matter candidates.
    • Analyze multi-component fluid perturbations relevant to CMB anisotropies.

  13. Reading/Research Project (Special & General Relativity Foundations)

    University of Calcutta
    • Mentor: Prof. Abhijit Bhattacharyya.
    • Derive special relativity from first principles (guided by Einstein’s original formulation) and build tensor/geometry foundations for GR.
    • Study FRW cosmology and the expanding universe framework.

Education

  1. Ph.D. in Physics

    Purdue University
    Advisor: Miaoyuan Liu

  2. Master of Science (Physics)

    Indian Institute of Science (IISc)
    Advisor: Prof. Banibrata Mukhopadhyay

  3. Bachelor of Science (Research)

    Indian Institute of Science (IISc)
    Advisor: Prof. Banibrata Mukhopadhyay
Skills
Technical Skills
Python & C++
PyTorch & TensorFlow
FPGA & ASIC (hls4ml)
LLM(s)
Research & Communication
Data Analysis
Detector Hardware
Academic Writing
Conference Presentations
Awards
LPC Guests and Visitors (G&V) Program Award
U.S. CMS Operations / Fermilab ∙ January 2025
Funded research residency at the LHC Physics Center (LPC).
Dr. Rolf Scharenberg Summer Graduate Fellowship
Purdue University ∙ June 2024
KVPY Fellowship
Government of India ∙ August 2018
Highest undergraduate fellowship in India.
Languages
100%
English Fluent
100%
Bengali Native
80%
Hindi Proficient