Resume

• 2011

  PhD

  Computer Science

  University of Minnesota-Twin Cities

• 2009

  Masters

  Computer Science

  Involved in research in the fields of information retrieval and data mining

  Alpha Chi Honor Society

  Golden Key Honour Society

  working to start Upsilon Pi Epsilon local chapter

• 2008

  Post Graduate Certificate

  Computer Science

  Involved in research in the fields of information retrieval

  databases and data mining.

• 1997

  BA in Bible/Theology

  Theology

  Ancient Languages

  Resident Assistant

  Student Production Team

  Moody Bible Institute

  Microsoft Certified Professional

  Microsoft

  CompTIA

  Computing Technology Industry Association A plus Certification

• MySQL

  SQL

  Algorithms

  Linux

  Python

  Visual Basic

  Computer Science

  Databases

  C

  Information Retrieval

  Data Mining

  Oracle

  Perl

  Research

  C++

  Troubleshooting

  JavaScript

  Programming

  Machine Learning

  PHP

  List of publications

  List of publications

  Anastasiu

  David C.

  Anastasiu

  University of Minnesota

  Santa Clara University

  Texas State University Data Mining Lab

  PPD

  San Jose State University

  In-Depth

  Inc.

  - Developed a method for collaborative clustering of search results that was integrated in a document processing pipeline at Lawrence Livermore National Laboratory.\n- Researched techniques for query disambiguation in information retrieval and multicriteria scheduling that led to four conference paper publications.

  Texas State University Data Mining Lab

  Santa Clara University

  Santa Clara

  CA

  My job involves teaching

  service to the school and greater academic community

  and research. My research interests fall broadly at the intersection of machine learning

  data mining

  high performance computing

  and computational genomics. Much of my work has been focused on scalable and efficient methods for analyzing sparse or unusual data. Current projects in my lab include developing efficient methods for searching spectral libraries

  characterizing the severity of kidney disease

  analyzing traffic from intersection and highway camera video streams

  and identifying outliers in passive DNS data. Additional details can be found on my lab web site at http://davidanastasiu.net.

  Assistant Professor

  - Developed mission-critical n-tier Web based applications that facilitated global online reporting and helpdesk support for Electronic Data Capture (EDC) clinical trials.\n- As main designer and architect

  lead my team to effectively transition our first Oracle Forms application to JavaEE.

  PPD

  San Jose State University

  San Jose

  CA

  My job involves teaching

  service to the school and greater academic community

  and research. My research interests fall broadly at the intersection of data mining

  high performance computing

  information retrieval

  and cloud and distributed computing. Much of my work has been focused on scalable and efficient methods for analyzing sparse data. Future research directions of interest include:\n- Knowledge discovery from Sparse Big Data.\n- Scalable quantitative methods for Data Mining.\n- Analysis of dynamic heterogeneous information networks.\n- Outlier detection in multivariate time-series.

  Assistant Professor

  Minneapolis

  MN

  - Designed exact nearest neighbor graph construction algorithms that execute more than 10x faster than state-of-the-art baselines by effectively ignoring unpromising edges. \n- Developed multivariate time-series analysis techniques

  working with researchers at Intel

  that provide insight into prototypical computer usage and how it evolves over time.

  PhD Candidate - Karypis Data Mining Research Lab

  University of Minnesota

  - Provided architectural and technical guidance to improve a document processing and integration pipeline. Assisted with migration from a Solr to an ElasticSearch back-end.\n- Improved both the efficiency (by more than 20x

  from more than 20 hours to less than one) and effectiveness of document clustering algorithms in use.

  Data Mining Consultant

  Greater Minneapolis-St. Paul Area

  In-Depth

  Inc.

  - Spearheaded the creation of support tools and processes that enabled the adoption of Oracle Clinical Remote Data Capture (RDC) for electronic capture of clinical trial data at PPD. The success of these tools and processes facilitated transitioning of most PPD trials to electronic capture in the following years.\n- Upon the creation of a specialized EDC support group

  trained technicians in multiple PPD global offices to troubleshoot and fix customer problems.

  PPD

  Romanian

  English

  Doctoral Dissertation Fellowship

  University of Minnesota

  Graduate Research Excellence

  Texas State University

  Alpha Chi member

  Alpha Chi Honor Society

  Block Grant Fellowship

  University of Minnesota

  Golden Key member

  Golden Key Honour Society

  Outstanding Graduate Student

  Texas State University