Mike Bobak
Knowledge-Engineer / Research-Programmer

2104 Bryant San Francisco, CA 94110 (415) 894-9724 mike.bobak@gmail.com

==EXPERIENCE
Freelance, SF —Knowledge-Engineer/Ontologist 2011-present
Data-science/semantics study/projects and work, incl IoT,CMS,pharma-ontologies.

ApolloGrp.edu, SF — Architect, Adaptive Learning Platform 2010-11
Semantic annotation of tests and related study materials so needs could be surfaced.

UCSF.edu, SF — Programmer/Analyst III 2007-10
Semantic annotation of clinical trial entrance descriptions to automate induction.

Freelance, Chicago/Boston —KnowledgeEngineer/Programmer 2001-07
Brightware like follow on rule-based consulting, incl Verizon &many other places. 

kbs.ai.UIUC.edu, SF — (sr) Research-Programmer 1998-2001
Coordinated software teams to make an immersive simulation tutor.

Brightware, Chicago —Knowledge-Engineer/Programmer 1996-98
Helped design and did 1st install of an automated email answering system.

Inst of Learning Sciences, nwu.edu , IL — Lead Programmer/Analyst 96 
Model-based explainable simulation used for tutoring. 

Argonne National Lab, anl.gov , IL — Software Engineer 1993-96
Wrote expert-system for EPA, then knowledge-guided coupled eco-simulation.

==EDUCATION
University of Illinois, Urbana-Champaign — MS Biophysics/Combio/AI
Wrote well used molecular viz/minp package. Thesis Knowledge-guided Molecular Simulation

University of Illinois, Urbana-Champaign — BS Physics, BS Biophysics
Included work/study at an allied lab, writing acoustics simulation, taking data &more

Longer versions at: http://notional.no-ip.org/michael-bobak.html
                http://mike.bobak.googlepages.com/m-bobak.pdf 
pdf of this at: http://mike.bobak.googlepages.com/MikeBobak.pdf 

==SKILLS
=AI
Artificial Intelligence Adaptive Systems
Business Rules / Expert Systems Case-Based
Reasoning Intelligent Agents / Systems
Data Mining /Machine Learning Data Analysis
Onto/KnowledgeEng,KnBased Sys
Ontology/Taxonomy Dev Controlled
Vocabularies Conceptual /Decision Modeling
Knowledge Representation Logic Programming
Semantic: Web , Search
Information Access/ Extraction/ Retrieval
Natural Language Processing/ Understanding
Text Classification SNOMED
Model-based-reasoning Composite Applications,
Causal Inference Intelligent Tutoring Systems
=Science
Research Scientific Viz/ Simulation
ComputationalSci/ Math / (Bio ) physics
=Others
Cloud Computing: Mapreduce/ Hadoop 
ExploratoryProgramming, Dynamic
Languages,Common Lisp etc.