Dr. Bertram Ludäscher

Professor

Build a Statement of Purpose

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

Biography

Bertram Ludäscher is a leading figure in data knowledge management, focusing on modeling, design, and optimization of scientific workflows, as well as provenance, data integration, and knowledge representation. He co-led the open-source Kepler scientific workflow system project and is a key member of the DataONE Working Group on Provenance for Scientific Workflows. His work emphasizes workflow technology and quality control in data curation, especially concerning biodiversity data and natural history collections. Ludäscher leads the NSF-funded Euler project aimed at developing logic-based methods for aligning and merging biological taxonomies. Since arriving at Illinois in Fall 2014, he has held professorial appointments in the Department of Computer Science and at the National Center for Supercomputing Applications (NCSA). Prior to his time at Illinois, he served as an associate research scientist at the San Diego Supercomputer Center at UC San Diego, leading the Knowledge-Based Information Systems Lab. He received his Master’s degree in Computer Science from the Technical University of Karlsruhe in 1992 and completed his PhD in Computer Science at the University of Freiburg in 1998.

Research Interests

Experience

Professor

2014-01-01 — Present

Department of Computer Science, University of Illinois • Champaign, IL

Leading research in data knowledge management and scientific workflows.

Associate Research Scientist

2004-01-01 — 2014-01-01

San Diego Supercomputer Center, UC San Diego • San Diego, CA

Led the Knowledge-Based Information Systems Lab.

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.