Papers

5

Total Citations

203

H-Index

4

About

Babak Mahjour is a computational and synthetic chemist whose research sits at the dynamic intersection of high-throughput experimentation (HTE), data science, and chemical synthesis. His work focuses on developing software and cheminformatic tools that enable researchers to design, manage, and analyze information-rich experimental arrays at unprecedented scale. His most-cited contribution, "Ultrahigh-Throughput Experimentation for Information-Rich Chemical Synthesis" (2021, 114 citations), positioned him as a leading voice in applying data-driven methodologies to organic chemistry, demonstrating how machine learning and predictive modeling can transform reaction discovery. His development of Phactor™, a dedicated HTE management system, and subsequent software platforms for rapid experimental planning and analysis (collectively garnering over 80 additional citations) reflects a sustained commitment to bridging laboratory hardware with intelligent software infrastructure. More recently, Mahjour has extended this vision toward automated reaction ideation, using mechanistic network analysis to discover novel multicomponent reactions. Across his body of work, he consistently champions the integration of automation, cheminformatics, and synthetic chemistry — equipping the broader research community with practical tools to accelerate discovery and unlock previously inaccessible regions of chemical space.

Research Focus

Key Achievements

4
H-Index
5
Papers
203
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Ultrahigh-Throughput Experimentation for Information-Rich Chemical Synthesis
114 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Michigan–Ann Arbor, Massachusetts Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago