Soham Mukherjee
Soham Mukherjee

Lead Software Engineer

Cadence Design Systems

Hi! I’m Soham, a Lead Software Engineer at Cadence Design Systems. I completed my PhD in Computer Science at Purdue University, where I worked in the CTDA group under the guidance of Prof. Tamal K. Dey. My doctoral research focused on integrating concepts from computational topology into machine learning, culminating in my dissertation titled “Unveiling Patterns in Data: Harnessing Computational Topology in Machine Learning.” (You can find it here — feel free to take a look!)

I started my PhD journey at The Ohio State University and later moved to Purdue in Fall 2020 with my advisor. Prior to that, I earned my Bachelor’s degree in Electronics and Telecommunication Engineering from Jadavpur University, Kolkata, where I conducted undergraduate research in the Circuits and Systems domain in the ADESL lab with Prof. Mrinal Kanti Naskar.

I’m originally from Kolkata, the “City of Joy” in eastern India—a place that never fails to inspire me. Outside of research and engineering, I enjoy exploring the world through my camera lens. Photography is my creative escape from the equations and algorithms I wrestle with during the day.

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Experience

  1. Lead Software Engineer

    Cadence Design Systems

    Responsibilities include:

    • Integrated GNN-based models into EDA pipeline.
    • Proposed, implemented, and tested a Fourier Neural Operator model for circuit simulation.
    • Prototyped Multimodal framework based models for predicting post-layout circuit behavior.

  2. Research Intern

    IBM T.J. Watson Research Centre

    Responsibilities include:

    • Graph generation with geometrical and topological constraints. (Patent filed)

  3. Engineering Intern

    Physna Inc.

    Responsibilities include:

    • Deployed CNNs to predict 3D computer-aided design (CAD) models from 2D images.
    • Automated segmentation and registration of point-cloud data obtained from scanning machine parts enabling efficient and accurate inspection.

Education

  1. PhD Computer Science

    Purdue University

    Thesis on Computational Topology and Machine Learning. Supervised by Prof Tamal K. Dey. Courses included:

    • Deep Learning
    • Machine Learning
    • Machine Learning on Graphs
    Read Thesis

  2. MS Computer Science and Engineering

    The Ohio State University
    GPA: 3.8/4.0

  3. BE Electronics & Teleccommunication Engineering

    Jadavpur University
    GPA: 9.5/10.0
Skills & Hobbies
Programming Languages
Python
PyTorch
TensorFlow
AI Topis
Graph Neural Network
Gen-AI
HuggingFace
Recent Publications
Soham Mukherjee, Shreyas N Samaga, Cheng Xin, Steve Oudot, Tamal K Dey (2024). D-gril: End-to-end topological learning with 2-parameter persistence. arXiv preprint arXiv:2406.07100.
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Cheng Xin, Soham Mukherjee, Shreyas N Samaga, Tamal K Dey (2023). GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning. Proceedings of 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML).
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Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy, Tolga Birdal, Tamal K Dey, Soham Mukherjee, Shreyas N Samaga, Others (2023). Topological Deep Learning: Going Beyond Graph Data. arXiv preprint arXiv:2206.00606.
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Soham Mukherjee, Darren Wethington, Tamal K Dey, Jayajit Das (2022). Determining clinically relevant features in cytometry data using persistent homology. PLoS Computational Biology.
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Simon Zhang, Soham Mukherjee, Tamal K Dey (2022). Gefl: Extended filtration learning for graph classification. Learning on Graphs Conference.
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