Dr. Jan Liphardt

Associate Professor

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Biography

Jan Liphardt is an associate professor in Bioengineering at Stanford University. He completed his BA at Reed College and his PhD at Cambridge University, where his research focused on the use of stochastic context-free grammars for identifying genomic patterns, particularly in the context of biological regulatory patterns and the detection of palindromic sequences. After completing his PhD, he worked as a postdoctoral researcher at UC Berkeley in the labs of Carlos Bustamante and Nacho Tinoco Jr., where he developed novel methods for studying the dynamics of small RNA systems. He joined the Berkeley Physics faculty in 2004 and has received several honors, including the Searle Scholar Award and the Sloan Research Fellowship. His research lab is funded by federal agencies such as NCI, NIGMS, NSF, and DOE. He teaches courses such as 'Engineering Living Matter' and seminars involving artificial intelligence and blockchain applications in bioengineering.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, CA

Teaching and research in the field of Bioengineering.

Awards

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Mohr Davidow Ventures Innovator’s Award

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Searle Scholar

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Sloan Research Fellow

Courses

Engineering Living Matter AI/Machine Learning in Bioengineering Bitcoin: Applications of Distributed Trust

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.