Dr. David Koslicki

Associate Professor

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Biography

David Koslicki is an Associate Professor in the School of Electrical Engineering and Computer Science at Pennsylvania State University. He has a PhD in Mathematics from Pennsylvania State University and a BS in Mathematics from Washington State University. His research interests focus primarily on Computational Science, Data Science, Artificial Intelligence, and Theoretical Computer Science. David Koslicki has made significant contributions in the area of bioinformatics through the development of tools for genomic data analysis and metagenomic profiling. His work emphasizes statistical methods and machine learning applications in biological sciences. Koslicki's publications include a variety of journal articles and conference proceedings, particularly regarding mathematical software and machine learning frameworks for drug treatment prediction. He is active in both academic leadership and committee service within his university, contributing to the advancement of knowledge in computational methods applied to life sciences. He has received several awards for his impact in the field and is involved with various research projects aiming to enhance metagenomic methods and integrative biomedical research streams.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Pennsylvania State University • University Park, PA

Teaching and researching in the areas of Computer Science and Engineering.

Awards

#

College of Science Impact Award

2018-10-01

Requirements for Pennsylvania State University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Writing
Required:24
Speaking
Required:23
Total
Required:100
IELTS
Writing
Required:7
Speaking
Required:7
Overall
Required:7
GRE General
Prerequisites
Master's degree in related field for PhD Baccalaureate degree from accredited institution
Application Checklist
  • Three letters of recommendation
  • Statement of Purpose
  • Writing Sample
  • Official Transcripts
  • Resume/CV
Specialization Notes

GRE scores are highly recommended but not strictly required for Applied Linguistics.