Biography

John is the Principal Investigator of the lab. He received his PhD from Example University and completed postdoctoral training at Another University. His research focuses on developing computational methods for understanding complex biological systems.

Before starting the lab, he worked in industry developing machine learning algorithms for drug discovery. He joined the faculty in 2020.

Research Interests

  • Machine learning for biological data
  • Drug-target interaction prediction
  • Single-cell genomics
  • Systems pharmacology

Education

  • PhD in Computational Biology, Example University (2015)
  • MS in Computer Science, State University (2010)
  • BS in Biology and Mathematics, College Name (2008)

Selected Publications

  1. Doe J, Smith A, Johnson B. Deep Learning for Drug-Target Interaction Prediction: A Comprehensive Review. Nature Machine Intelligence. 2024 Jan. doi

  2. Wong A, Doe J. Interpretable Machine Learning for Genomics. Nature Methods. 2023 Oct. doi

  3. Brown M, Smith A, Johnson B, Doe J. Multi-omics Integration Using Deep Learning. Bioinformatics. 2023 Sep. doi

Contact

Email: john.doe@university.edu
Office: Room 456, Science Building
Phone: +1 (555) 123-4567

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