December, 2023 Michigan Technological University
PhD Applied Cognitive Science and Human Factors
Education
May, 2021 Michigan Technological University
MS Applied Cognitive Science and Human Factors
Skills & Abilities
Human Factors
- Human-Systems Integration
- Scientific Research
- Human Cognition
- Statistical Analysis & Modeling
- AI/ML
Cognition
- Memory, Learning, Attention, Decision-Making
- Knowledge Elicitation
- Training Humans: Intelligent Software Systems
- Multi-Modal Training
Enterprising Spirit
- Project Oversight & Tracking
- Stakeholder Needs Analysis
- Inter-/Intra-Team Collaboration
- Problem Identification/Solving
- Scope Development
- Writing: Proposal, Communication, Reports
- IT (Software, XAI, Data, Analytics)
Experience Overview
Dissertation Research: Explicit Rule Learning for AI/ML
Developed and obtained empirical evidence for a novel Cognitive Tutorial XAI method (Explicit Rule Learning for AI/ML) which accelerated learning and improved the proficiency of learners (by 33%) of AI/ML systems.
- Used human cognition, learning and human-machine teaming theories and evidence to inform the method.
- Identified the problem and gap in research, performed a literature review, designed the study and statistical analysis plan, performed an ethical review, obtained approval, recruited participants, collected & statistically analyzed data, interpreted and reported results.
- Learners were 33% better at predicting the AI/ML’s output, and were almost 10% better in their ability to generalize learned skills to new, unseen situations.
Corporate-wide ERP Solution Identification & Implementation
Hydro, Inc.: Analyze business software and process-flow redundancies and gaps for a global engineering corporation, develop and launch comprehensive solution, customize as per the requirements and budget of management, implement data conversion, provide documentation (solution overview, customization details, systems’ conversion data, workplace knowledge, training material, final report).
- Eliminated 15% redundancy: shared repository for engineers, drafters, machine shop for tracking inventory, purchasing, job-related materials, QA and rework, decreased status meeting times by 35%, reduced production/cycle time by 10%, implemented inter-facility savings with corporate-wide purchasing contracts savings of 10%, shared engineering data between facilities for a savings of 10% of hours spent on a job, shared job status repository so that it was accessible by sales, accounting and management (with applicable permissions: read-only, edit access).
- Team member of inter-departmental/inter-facility multi-level analysis and solution implementation, with contributions in the entire process and lead roles in customization, data conversion, training engineering and material development as well as all areas of documentation.
Consultant: Develop Global Industry Solution
Analyze unique business process involving corporate headquarters in US (full and unrestricted Enterprise Resource Planning system access) and overseas manufacturing facility (limited and restricted ERP access). Create multi-lingual data entry screens for manufacturer, integrate data with corporate’s ERP system, facilitate reports as needed by each facility.
- Eliminated 45% of redundantly entered data, removing possibility of data mismatch and human error, create one standard solution effective for all facilities utilizing one database located in a central repository, accessible to each facility as per applicable permissions and language and measurement unit requirements. Eliminate usage of office spreadsheet reporting and visualizations.