Aditya Bharadwaj Senior User Researcher and Tech Lead @ B12.io
PhD, Virginia Tech

Aditya Bharadwaj

About Me

I am a Senior User Researcher with over 10 years of experience in creative AI domain. Currently, I lead research initiatives at B12, where I specialize in triangulating quantitative product data (A/B tests, metrics) with deep qualitative insights to drive user-centered product development in the Creative AI domain.

My Journey

I began my career as a Software Engineer at PayPal, where I built next-gen payment solutions. However, my curiosity about the why behind user behavior—and my appetite to understand the full concept-to-product lifecycle—led me to pursue a Ph.D. in Computer Science at Virginia Tech.

Research Focus: Human-AI Collaboration

My research interests are in mixed-initiative collaborative systems, particularly in creative domains. I specialize in:

The Engineering Edge

Thanks to my engineering roots (BITS Pilani, PayPal), I don’t just study interfaces; I love prototyping them. I am quick to learn and develop high-fidelity prototypes using cutting-edge technologies (Python, React, AWS, Generative AI) to rigorously test research hypotheses.

Community

Beyond my core work, I am passionate about open source. I have served as a mentor for the Google Summer of Code program for over 4 years.

News

Publications

  1. Critter: Augmenting Creative Work with Dynamic Checklists, Automated Quality Assurance, and Contextual Reviewer Feedback
    Aditya Bharadwaj, Pao Siangliulue, Adam Marcus, and Kurt Luther
    ACM Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, UK, 2019. (24% acceptance rate)

  2. GraphSpace: Stimulating Interdisciplinary Collaborations in Network Biology  [GraphSpace]   [Code]
    Aditya Bharadwaj, Divit P. Singh, Anna Ritz, Allison N. Tegge, Christopher L. Poirel, Pavel Kraikivski, Neil Adames, Kurt Luther, Shiv D. Kale, Jean Peccoud, John J. Tyson, and T. M. Murali
    Bioinformatics, in press, 2017.

  3. XTalkDB: A Database of Signaling Pathway Crosstalk  [XTalkDB]
    Sarah Sam, Joelle Teel, Allison N. Tegge, Aditya Bharadwaj, and T. M. Murali
    Nucleic Acids Research, 45 (D1), D432-D439, 2016.

  4. NetGist: Learning to generate task-based network summaries  [Code]
    Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, and B. Aditya Prakash
    IEEE ICDM 2018, Singapore.

  5. Propagation based Temporal Network Summarization  [Code]
    Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, and B. Aditya Prakash
    IEEE Transactions on Knowledge and Data Engineering (TKDE). 2017

  6. Condensing Temporal Networks using Propagation  [Code]
    Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, and B. Aditya Prakash
    SIAM International Conference on Data Mining (SDM 2017), April 2017, Houston, (to appear)

Posters

  1. GRAPHSPACE: Stimulating interdisciplinary collaborations in network biology at 18th Annual Bioinformatics Open Source Conference (BOSC 2017) and Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017.

Conference Talks

  1. GRAPHSPACE: Stimulating interdisciplinary collaborations in network biology at 18th Annual Bioinformatics Open Source Conference (BOSC 2017) and Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017.