PeopleofSuperintelligence

Researcher

Mark Heimann

Mark Heimann is a research scientist whose AI work spans graph learning, scientific applications and language models. He earned an undergraduate degree from Washington University in 2015 and a computer science PhD at the University of Michigan in 2020, where he worked in the GEMS Lab with Danai Koutra. He developed REGAL for matching nodes across networks and applied graph neural networks to molecular modeling, scientific image segmentation and software analysis at Lawrence Livermore National Laboratory. He coauthored papers on gene-interaction prediction with language models in 2024 and conformal edge-weight prediction in 2025, and FIDE awarded him the grandmaster title in 2025. Since August 2026, he is a research scientist at Ivo, where he works on post-training methods for knowledge-intensive domains such as law.

Now at
Ivo
Badges

Timeline

  1. 2015

    An undergraduate degree

    He completes an undergraduate degree at Washington University in St. Louis in 2015.

  2. 2018

    REGAL aligns graph nodes

    In 2018, with Haoming Shen, Tara Safavi and Danai Koutra, he proposes REGAL, a framework that learns node representations to match nodes across different graphs.

  3. 2020

    A doctorate on network embeddings

    He completes a computer science PhD at the University of Michigan in 2020 as a member of the GEMS Lab, advised by Danai Koutra. His dissertation is titled ‘Unsupervised Structural Embedding Methods for Efficient Collective Network Mining.’

  4. 2020s

    Graph neural networks at LLNL

    During the 2020s, he works as a senior research scientist in Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing. His work covers graph neural network methods for molecular modeling, scientific image segmentation and software analysis, followed by foundation models for bioinformatics.

  5. 2024

    Language models for gene interactions

    In 2024, he coauthors ‘Adapting Large Language Models to Predict Gene Interactions’ with Christine Klymko and Jayaraman J. Thiagarajan at BioKDD @ KDD.

  6. 2025

    A grandmaster title

    FIDE awards him the grandmaster title in 2025 at its first council meeting of the year.

  7. 2025

    Conformal edge-weight prediction

    He coauthors ‘Conformal Edge-Weight Prediction in Latent Space,’ a 2025 SDM paper with Akash Choudhuri, Yongjian Zhong, Mehrdad Moharrami, Christine Klymko, Jayaraman J. Thiagarajan and Bijaya Adhikari.

  8. Since August 2026

    Post-training language models at Ivo

    Since August 2026, he is a research scientist at Ivo, where he works on supervised fine-tuning, prompt optimization and other post-training methods for knowledge-intensive domains such as law.

Career

  1. Since 2026IvoResearch Scientist
  2. Lawrence Livermore National SecuritySenior Research Scientist

Education

  1. 2020University of MichiganPhD
  2. 2015Washington University in St. LouisUndergraduate degree

From the biography.

  1. Universities had a net outflow of 2,068 moves in AI careersIncludes University of Michigan. Our estimates of career flows and median h-index across universities and companies in AI, including the role of joint appointments and earlier academic jobs.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Michigan. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes University of Michigan. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Michigan. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Sources and credits

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  1. Research · Mark Heimann markheimann.com. Checked 20 October 2026.
  2. [1802.06257] REGAL: Representation Learning-based Graph Alignment arxiv.org. Checked 20 October 2026.
  3. NSFCareer - Project #1845491 gemslab.github.io. Checked 20 October 2026.
  4. BIOKDD’24 biokdd.org. Checked 20 October 2026.
  5. (Woman) Grandmaster / International Master titles approved in 1st FIDE Council 2025 – Qualification Commission qc.fide.com. Checked 20 October 2026.