Informatics

Faculty
V. Cody Bumgardner, PhD
Director of Pathology Informatics

Kannabiran Nandakumar, PhD
Associate Director of Pathology Informatics

Shadi Qasem, MD
*Director of Surgical Pathology

Min Yu, PhD
*Associate Director of Clinical Chemistry

*Primary appointment in another division.

Staff

Caylin Hickey
**Data Scientist/Cloud Engineer

Nima Seyedtalebi
**Data Scientist

Anil Rajesh Kumar
**Research Assistant

**In addition to staff role, also a computer science PhD student. 

Mission
The mission of the University of Kentucky Division of Pathology Informatics is to leverage, develop, and promote the latest advancements in science, engineering, and technology in support of medicine. 

Goals
Pathology Informatics functions as an academic, research, and clinical subspecialty of pathology. 
A great deal, if not the majority, of actionable patient data is generated by pathology and laboratory medicine making it a natural home for medical informatics. 
However, our division is not only interested in pathology data, but in the broader bridging of technology and medicine in attempts to understand the underpinnings of every aspect of patient care, from diagnostic testing and treatment advice to the use of cutting-edge technologies for the prevention of disease. 


Areas of Interest
Clinical Informatics
Clinical Systems Architecture
Continuous Mobile Health Measurement
Digital Pathology
Distributed Diagnostic Medicine
Population Health
Precision Medicine
Public Health
Real-Time Laboratory Informatics


Competencies
Bioinformatics: development of tools and methods for working with biological data
Complex Event Processing (CEP): combining data from multiple sources to infer events or patterns that suggest more complicated circumstances
Edge Computing: a collection of techniques used to manage distributed resources positioned at points of system component demarcation
High-Performance, High-Throughput, and Accelerated (GPU, NPU, FPGA, etc) Computing
Hybrid Cloud Application Strategy, Design, and Development
IoT, Cyber-Physical Systems (CPS), Machine to Machine (M2M) Technologies, Industrial Internet, and Smart Cities Related Technologies
Large-Scale (Global Level) Application Monitoring and Measurement
Machine Learning (ML), Artificial Intelligence (AI), and Augmented Reality (AR) platforms and underlying topics
Peta-Scale, so-called 'Big Data' management and processing
Real-Time Computing (RTC): Hardware and sofftware systems that guarantee responses within specified time constraints

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