Pedro R. Romero is a data scientist, life scientist, and computational scientist seeking a position that utilizes his extensive experience and skills. He has over 35 years of experience in computing, data science, computational biology, and programming. He has held positions as a director of a biological database, associate scientist developing machine learning approaches for drug discovery, and postdoctoral fellow developing metabolic network databases.

1. Pedro R. Romero Data Scientist - Life Scientist - Computational Scientist
1946 Wallinford Cir, Sun Prairie, WI 53590 | pedro.romero.phd@gmail.com | (608) 237-1475
Qualifications
and Skills
•Internet and WWW: Using computers since 1976; WWW experience
since 1994; Web design experience from early HTML to WordPress.
•Data Science: Ample research experience in machine learning (ML) and
data analysis on large, noisy datasets, plus teaching graduate level
machine learning for 5 years. Familiarity with TensorFlow.
• Computational Biology: Molecular biology, biochemistry, biophysics,
genomics, protein structure, sequence and pathway analysis, cancer.
• Programming: Fluent in C/C++, Objective C, Swift, Perl, Python, Lisp.
• Math/Stats: Experience with R, Partek, Matlab, WEKA.
• Operating systems: Windows, Mac OS X, and Unix-Linux-Solaris.
• Databases: Experience with relational (SQL) and Object-oriented DBMS
and biological DBs in general. Familiarity with NoSQL.
• High-performance computing: Familiarity with Hadoop, MapReduce,
Spark.
• Communication skills: Strong oral (15+ talks and lectures) and written
(40+ peer reviewed publications with 11,000+ total citations and 2 Book
chapters). Bilingual (English-Spanish)
•Management: Industry: Project and Research Manager; Academia:
Research Co-PI and Program Director, Faculty President, Resource
Director, Conference session chair, Editorial Boards.
Profesional
Experience
•DIRECTOR, BIOLOGICAL MAGNETIC RESONANCE BANK – UNIVERSITY OF WISCONSIN
MADISON: Directs an important database resource for molecular biology.
•ASSOCIATE SCIENTIST – UNIVERSITY OF WISCONSIN MADISON: Working in an
industry setting, developed a machine learning approach for predicting
drug toxicity from protein structure.
• VISITING SCIENTIST, ASSISTANT PROFESSOR – INDIANA UNIVERSITY – PURDUE
UNIVERSITY INDIANAPOLIS: Many data analysis-based breakthroughs in
protein intrinsic disorder, a new field in molecular biology co-founded as
a doctoral student after developing the first ML predictor of structural
disorder, with applications in biomedicine and drug discovery.
• POSTDOCTORAL FELLOW – SRI INTERNATIONAL: Developed 7 object-oriented
Pathway-Genome Databases (PGDBs), including HumanCyc the first
genome-based human metabolic network database. Co-developed a
patented computable logic representation of metabolic networks.
Added functionality to, and ported to Windows, the Pathway Tools
software suite in a professional software engineering setting. Also,
developed an ML predictor of transcription units on PGDBs.

2. • SCIENTIFIC CONSULTANT – MOLECULAR KINETICS: Advised on research leading
to a preliminary patent for a genome-wide drug target search tool.
• SCIENTIFIC CONSULTANT – SINGULARITY INC.: Advisor on data analysis
applications on biomedical data.
• SCIENTIFIC CONSULTANT – PURDUE UNIVERSITY CHEMICAL ENGINEERING: Advisor
on machine learning for drug discovery.
• PROJECT MANAGER/RESEARCHER – DESARROLLO EMPRESARIAL: Management
training, consulting and research. Co-authored a major study on global
management trends for PDVSA (Venezuelan Oil Industry).
Education
•Postdoctoral, Computational Biology, SRI International, 2003
•Ph.D. Computer Science, Washington State University, 1999.
• M.S.E. Chemical & Biochemical Engineering, University of Pennsylvania.
1984.
•Chemical Engineer: Universidad Simon Bolivar, Caracas, Venezuela,
1981.
Languages
•English
•Spanish