Dr. Leonore Herzenberg

Professor

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Biography

Leonore Herzenberg is a Professor of Genetics at Stanford University, specializing in Flow Cytometry. With a D.Sc-equivalent degree from the University of Paris V Sorbonne in Immunology, she has made significant contributions to understanding gene expression and immune system function through her research. Her work has focused on the mechanistic understanding of distinct B cell lineages, which are crucial for the immune response. Herzenberg's laboratory employs advanced techniques like Fluorescence-Activated Cell Sorting (FACS) in their investigations and has developed new software tools to enhance data analysis for the wider scientific community. She has received several prestigious awards, including the Royal Microscopical Society Honorary Fellowship and the Kyoto Prize as well as multiple patents for her innovative approaches in biomedical research. Herzenberg actively collaborates with students and fellows, fostering an inclusive research environment that emphasizes diverse areas of genetics and molecular biology.

Research Interests

Patents

Method and system for data archiving

8,548,950 2013-10-01

A system for archiving data.

https://patents.google.com/patent/US8548950B2/en

Methods for selecting multiparameter reagent combinations

20 2014-06-20

Methods for using reagent combinations in flow cytometry.

Courses

GENE 299 IMMUNOL 299 IMMUNOL 280 GENE 399 IMMUNOL 399 GENE 370 GENE 260 IMMUNOL 290 GENE 199 IMMUNOL 199

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.