Asabaal Horan, Ph.D.
Reality Studio Owner-Operator
Professional Summary
Systems-oriented operator with a Ph.D. in Physics and a background spanning data science, machine learning, technical infrastructure, and real-world operational systems. I design, improve, and steward processes, platforms, and information flows that help organizations make reliable decisions. My work combines analytical rigor, technical execution, cross-functional communication, and human judgment, with an emphasis on accuracy, legibility, maintainability, and responsible improvement. I am especially effective in ambiguous environments where complex goals must be translated into practical, durable systems. Peruse the AI Portfolio.
Core Competencies
Operations & Systems
Operational infrastructure, Process and workflow design, Systems/platform design, System lifecycle stewardship, Translating goals into durable execution
Data & Analytical Rigor
Data and analytics platforms, Quantitative analysis and modeling, Reporting and decision support, Data-driven product design, Technical problem solving
Leadership & Collaboration
Cross-functional integration, Client and stakeholder collaboration, Mentoring and training, Direction-setting under ambiguity, Complexity management
Human-Centered Judgment
Responsible use of automation, Human judgment and ethical restraint, Balancing scale with care, Maintaining system legibility, Aligning systems with real-world use
Professional Experience
Independent venture designing, building, and stewarding real-world operational, data, and analytics systems.
- Design and deploy data, analytics, reporting, and operational systems used for real-world decision-making
- Build and steward technology platforms under real constraints, including time, budget, and organizational complexity
- Translate ambiguous or abstract goals into maintainable systems that can be reliably operated and improved over time
- Operate across technical, organizational, client, and human contexts to keep systems aligned with real-world use
- Determine when automation is appropriate versus when human judgment or interpretation is necessary
- Prioritize stability, legibility, responsible evolution, and sustained delivery under incomplete information
Selected case studies available at: Advancements by Asabaal
Promoted from Data Scientist II to Data Scientist III (Nov 2021)
- Created and extended data-driven machine learning pipeline solutions for healthcare applications, including patient engagement, repayment, and denials overturn and prevention
- Designed, implemented, and maintained proprietary MLOps infrastructure
- Led internal and external collaboration and communication initiatives
- Defined and implemented data-driven elements of product design
- Mentored junior team members and fostered holistic workplace development
- Continuously pushed boundaries of what's possible while staying current with industry developments
- Developed financial modeling solutions for marketing, acquisition, and fraud prevention
- Managed the full data science product lifecycle
- Pioneered a complete, team-wide overhaul of modeling infrastructure
- Hosted training sessions for AWS migration of data science workflows
- Led client engagements as a project specialist, anticipating client needs
- Managed a summer intern, initiating new feature engineering approaches
- Transitioned the internal codebase to GitLab for version control
- Conducted interdisciplinary computational biophysics research
- Specialized in MCMC HPC simulations using MPI on world-class supercomputers
- Applied data analysis techniques from statistical analysis to unsupervised learning
- Trained and supervised graduate & undergraduate students
- Wrote successful grant proposals (funded by XSEDE)
- Participated in peer review of submitted research articles
- Presented & published scientific research at prestigious conferences/journals
- Designed in-house clustering algorithm described in scientific publications
Education
Human psychology & neuroscience, music creation & production, financial investment strategies, home inspection, creative narrative construction, developing GenAI pipelines
Capstone Project: Diagnosing Malaria with Machine Learning - Used standard ML, neural networks, and transfer learning (VGG16) for image classification, computer vision (Mask RCNN) for parasite identification
Minors in Mathematics & Computer Science
Teaching Experience
- Taught introductory Physics lecture & lab courses
- Developed lesson plans, quizzes, & problem solutions
- Participated in pedagogical experimentation to optimize student learning
- Conducted office hours for student tutoring
- Reviewed solutions for accuracy and developed grading systems
- Assisted in lab setup/teardown and student experiment success