PeopleofSuperintelligence

Researcher

Niloofar Maani

Niloofar Maani is a PhD student at the German Research Center for Artificial Intelligence (DFKI) who applies machine learning to multi-omics data for health care and diagnostic systems. She studied electrical engineering at the University of Shiraz from 2013 to 2017 and signal processing and communication engineering at the University of Erlangen-Nuremberg from 2019 to 2023. In July 2025, she coauthored a systematic review of visible neural networks for multi-omics integration in Frontiers in Artificial Intelligence, and in March 2026 she was among the authors of the curATime reports curAIscid and biosignATure. She is a PhD student and research assistant in DFKI's Data Science and its Applications group, where she researches multi-omics data imputation.

Now at
DFKI

Timeline

  1. 2013–2017

    Electrical engineering at Shiraz

    She studies electrical engineering at the University of Shiraz from 2013 to 2017 for a BSc degree.

  2. 2019–2023

    Signal processing at Erlangen-Nuremberg

    From 2019 to 2023, she studies for an MSc in advanced signal processing and communication engineering at the University of Erlangen-Nuremberg (Friedrich-Alexander-Universität Erlangen-Nürnberg).

  3. July 2025

    A review of visible neural networks

    In July 2025, she coauthors the systematic review “Visible neural networks for multi-omics integration: a critical review” in Frontiers in Artificial Intelligence, with David Antony Selby, Sebastian Vollmer and others. The review identifies 86 recent papers that implement biologically informed neural networks, and her affiliations are DFKI's Data Science and its Applications group and the Department of Computer Science at the University of Kaiserslautern–Landau (RPTU).

  4. March 2026

    Two curATime final reports

    In March 2026, she is among the authors of two curATime final reports: “curAIscid - curATime AI science & development” and “biosignATure - curATime”, which covers systems-oriented multi-omics identification of biomarker signatures for the detection, quantification and treatment of atherothrombosis.

  5. As of October 2026

    PhD student at DFKI

    She is a PhD student and research assistant in the Data Science and its Applications group at DFKI, where she researches multi-omics data imputation. Her interest is the use of machine learning to improve health care and diagnostic systems.

Career

  1. NowDFKIResearch Assistant

Education

  1. 2023Friedrich-Alexander-Universität Erlangen-NürnbergMSc
  2. 2017University of ShirazBSc
  3. DFKIPhD Student

From the biography.

  1. Nonprofit roles are 2.3 times as common in AI safetyIncludes DFKI. We estimate where people focused on safety, alignment and evaluation work. Nonprofit roles appear for 25.1% of safety people with known affiliations, compared with 11.0% in other areas.
  2. The top 10 organizations employed 22% of people shaping AI in 2025: 51% of company researchers and 21% of university researchersIncludes DFKI. We estimate the share of people shaping AI who worked at the top 10 organizations each year from 1955 to 2025, comparing concentration across companies, universities, and institutes and labs.
  3. The United States employs an estimated 48% of people shaping AIIncludes DFKI. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes DFKI. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Niloofar Maani — Data Science and its Applications dsa.dfki.de. Checked 22 October 2026.
  2. Visible neural networks for multi-omics integration: a critical review frontiersin.org. Checked 22 October 2026.
  3. Visible neural networks for multi-omics integration: a critical review (PubMed Central) ncbi.nlm.nih.gov. Checked 22 October 2026.
  4. curAIscid - curATime AI science & development oa.tib.eu. Checked 22 October 2026.
  5. biosignATure - curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose oa.tib.eu. Checked 22 October 2026.