Dr. Kristin Cobb

Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Kristin Cobb. Improve your application with a focused, well-structured draft.

Biography

Kristin Sainani Cobb is a Professor (Teaching) at Stanford University in the Department of Epidemiology and Population Health. She specializes in epidemiology, biostatistics, and science communication. Her educational background includes a PhD in Epidemiology and an MS in Statistics, both from Stanford University. Dr. Sainani has received various awards, including the Biosciences Award for Excellence in Graduate Teaching at Stanford in 2018 and multiple teaching awards from the Division of Epidemiology. She has also been a Howard Hughes Predoctoral Fellow and earned a Professional Education Certificate in Science Writing from UC-Santa Cruz. Her current research focuses on osteoporosis, stress fractures, sports injuries, and the female athlete triad, combining her expertise in epidemiology with science writing to communicate complex scientific concepts effectively.

Research Interests

Science Writing Science Communication Biostatistics Osteoporosis Stress Fractures Sports Injuries Female Athlete Triad

Experience

Professor (Teaching)

2005-01-01 — Present

Stanford University • Stanford, California

Teaching courses in epidemiology and statistics while engaging in research.

Awards

#

Biosciences Award for Excellence in Graduate Teaching

2018-01-01
#

Teaching Award

2005-01-01
#

Teaching Award

2007-01-01
#

Teaching Award

2009-01-01
#

Rennie Taylor/Alton Blakeslee Fellowship

2001-01-01
#

Howard Hughes Predoctoral Fellowship

1997-01-01

Courses

CIM 203 BMDS 241 EPI 261 STATS 261 EPI 262 STATS 262 HUMBIO 89 EPI 258 EPI 159 EPI 259 EPI 214 EPI 291 EPI 299 EPI 399 HRP 370 HUMBIO 189 EPI 199 BIOMEDIN 233 EPI 271 BIOMEDIN 254

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.