• Anandi Krishnan
  • Anandi Krishnan
  • Associate Professor
  • Department: Department of Biomedical Engineering
  • Program(s): Physiology and Integrative Biology Graduate Program
  • Major Research Interest(s): Cancer Biology, Computational Biology, Genomics, Physiology
  • Research Organisims: Cell lines, Humans
  • Rotating Faculty
  • Rutgers University
  • Biomedical Engineering Building
  • 599 Taylor Road Piscataway, NJ 08854
  • Piscataway, NJ 08854
  • Key Words: Omics, Genomic Medicine, Translational Research, Experimental Hematology, Computational Biology, Platelets, Megakaryocytes, Blood Cancers, Myeloid Neoplasms, Bioinformatics, Biostatistics, Data Science, Systems Biology, Precision Medicine.

My ‘Plateletome’ lab integrating both ‘dry’ and ‘wet’ lab research at Stanford (CA) is transitioning to Rutgers University (NJ) in January 2024 (and potential research projects for Fall 2023 too). We primarily leverage clinical samples in functional genomics studies and cell-based assays.

Would love to hear from motivated graduate students (MD, PhD, MD/PhD candidates) with interests in hematology, hematology-oncology, curiosity toward platelet and megakaryocyte biology, and potentially skills in basic molecular biology, cell signaling and omics, data science, bioinformatics and biostatistical data analysis.  

Overall objective of the research is to uncover cross-functional roles of platelets (and parent megakaryocytes) in disease settings beyond their classical role in hemostasis and thrombosis (e.g. cancer, inflammation, infection). Research strategies include integrating multi-omics discovery with molecular, cellular and in vivo approaches. Immediate research goals are in mechanistic characterization as well as clinical laboratory validation of platelet multi-omic signatures derived from diverse patient cohorts.

Projects are collaborative across institutions – and span entities and schools within Rutgers (e.g. Biomedical Engineering, Computer Science, Statistics, and the Rutgers Cancer Institute of NJ).

Ideal candidate is one who is highly motivated, has a strong interest in basic/translational research, and is committed toward the development of a research program. Attentive personal mentorship and investment in their career interests is assured.