Dr. Nicolas Altemose

Assistant Professor

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Biography

Nicolas Altemose is an Assistant Professor in the Department of Genetics at Stanford University and a Chan Zuckerberg Biohub Investigator. His research focuses on the development of new experimental analytical tools to study how chromatin proteins organize and regulate complex regions of the human genome. Altemose's work is characterized by a commitment to understanding the intricate mechanisms of genomic organization and their implications in human biology. He has received several prestigious awards, including the Pew Biomedical Scholar Award, the CZ Biohub Investigator Award, and the HHMI Hanna H. Gray Fellowship. With a robust academic background, he holds a PhD in Bioengineering from UCSF, a DPhil in Statistics from the University of Oxford, and a BS in Biology from Duke University. His labs and courses emphasize innovative research and training in the genetics field, ensuring that students and colleagues are well-equipped to navigate cutting-edge scientific landscapes.

Research Interests

Experience

Assistant Professor

2021-07-01 — Present

Stanford University • Stanford, CA

Conducting research and teaching within the Department of Genetics.

Awards

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Pew Biomedical Scholar Award

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CZ Biohub Investigator Award

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HHMI Hanna H. Gray Fellowship

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Siebel Scholarship

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HHMI Gilliam Fellowship

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Marshall Scholarship

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Angier B. Duke Scholarship

Courses

GENE 211 GENE 399 BIO 300X GENE 260 GENE 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.