Dr. Peter Gershkovich

Associate Professor

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Biography

Peter Gershkovich joined the Department of Pathology in 2004, shortly after completing a National Library of Medicine funded fellowship training at the Yale Center for Medical Informatics. During this time, he led the development of novel software that integrates emerging technologies with existing commercial Laboratory Information Systems, robotic laboratory instruments, Digital Pathology equipment, and Hospital Electronic Medical Records. His research interests encompass clinical systems engineering, information visualization, DNA sequencing analysis, and natural language processing. Currently, he focuses on assembling and delivering relevant information for clinical decision-making. His underlying philosophy in software development emphasizes practical reasoning, leading to systems that have a significant impact on clinical care. The engineering group he leads integrates these systems into the daily workflow of the Pathology Department, enhancing the quality and efficiency of patient care operations. Amid the COVID-19 pandemic, his group quickly developed software modules to support SARS-CoV-2 testing, underscoring the essential role of software engineering in modern patient care. His work is crucial for patient safety, ensuring the accuracy of new diagnostic techniques, and facilitating continuous quality improvement in medical workflows.

Research Interests

Experience

Associate Professor

2004-01-01 — Present

Yale University • New Haven, CT

Joined the Department of Pathology, focusing on the integration of technology in clinical systems.

Requirements for Yale University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
TOEFL
Listening
Required:25
Speaking
Required:26
Total
Required:100
IELTS
Speaking
Required:7.5
Overall
Required:7
Prerequisites
Bachelor's degree in Engineering, Physics, Chemistry, Computer Science, or Mathematics
Application Checklist
  • Statement of academic purpose
  • Unofficial transcripts
  • Three letters of recommendation
  • Application fee ($105)
  • Resume/CV
Specialization Notes

Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.