Hong P.
Assistant Professor | Data Science - Advanced Statistics - Machine Learning - Artificial Intelligence - Human-Centered Pedagogy Research - Biomedical Imaging Data Analytics - Biomarker Discovery
- Role
- Lecturer, Department of Computer Science at Boston University Metropolitan College
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Hong P.
Thought leader and data science pioneer with significant track record for translating AI/ML algorithms and advanced statistics capabilities for real-world applications. Recognized as creative, resourceful, integrative expert in extracting and analyzing patterns from high-dimensional datasets to shape and deliver predictive and optimized data solutions in translational & precision medicine.Collaborative medical imaging director who partners across disciplines and gains executive-level buy-in for quantitative software tools in advanced in vivo neuroimaging, directs productive collaboration relationships with industry-leading vendors, serves as expert in planning, designing, optimizing & conducting MRI/PET imaging experiments, quantitating & interpreting imaging data.Award-winning researcher and instructor dedicated to training and motivating the next generation of data scientists and imaging researchers. Convene diverse stakeholders to unlock previously untapped avenues and pave way for cutting-edge solutions. SELECT ACHIEVEMENTS & AREAS OF EXPERTISE:• Spearheaded groundbreaking solution to drive major advancements in developing first-of-their-kind, statistical, data-driven diagnostic tools for guiding the treatment of CNS disorders. • Established & led interdisciplinary neuroimaging research center to enable development & delivery of cost-effective, successful diagnostics & treatments in CNS medicine. • Earned Mass General Brigham Excellence in Innovation Award 2X and Pillar Award in Research & Innovation, with 60+ journal publications. • Led imaging data science efforts & hands-on executions as a core team member on 20+ federal & institutional projects, with deep understanding of imaging techniques across multiple modalities, demonstrated ability to collaborate with researchers of diverse background, consistently delivered analysis results with significantly higher performance than state-of-the-art packages in the field. • Created best practice approaches for optimized data acquisition, biomarker discovery & automated informatics reporting and data visualization pipelines based on MRI methodology, resulting in 4 patents.Human-Centered Pedagogy Research | Medical Imaging | Statistical Analysis | Network Neuroscience | Computational Biology | Strategic Planning & Execution | Excellent Problem-Solving, Collaboration, Communication & Writing Skills | Software Development | Data Visualization | Programming Skills | C | UNIX | R | Cloud Computing | Cross-Functional Projects | Industry Experience | Academia & Industry Engagement
Experience
Lecturer, Department of Computer Science
Boston University Metropolitan College
Sep 2022 — Present · Boston, MA, US
Foundations of Analytics & Data Visualization with R | Foundations of Machine Learning with R | Information Structure with Python | Information Structure with Java | Differential Equations
Education
Shanghai Jiao Tong University
Master of Science - MS, Precision Instruments
Purdue University
Doctor of Philosophy - PhD, Electrical and Computer Engineering
1993 — 1999
Shanghai Jiao Tong University
Bachelor of Science - BS, Biomedical Engineering
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.