CV

Postdoctoral Researcher

Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen

Federated learning in the FLIP-IT project (NEXT.IN.NRW-funded) with Prof. Jens Kleesiek and Dr. Moon Kim; collaboration with Prof. Michael Kamp and the Kamp Lab, Lamarr Institute, TU Dortmund University.

• FLIP-IT: federated chronic kidney disease risk prediction across general practice clinics using the Flower framework
• Developing privacy-preserving federated continual learning methods and an open-source benchmark toolkit; work in progress on activation and rank-code communication protocols

Analyst

NAI Innovations

Evaluation of ML-driven startups in medical cannabis symptom management; algorithmic performance analysis; strategy for AI in neuroscience and psychiatry.

Founder / CEO

Building Blocks (student-led nonprofit)

Peer mentoring app and community; corporation no. 1176510-8.

Postdoctoral Representative, SEDI Committee

Department of Statistics, UBC

Equity, diversity, and inclusion initiatives, policy, seminars, and mentorship programs.

Coordinator, EDI Seminar Series

Department of Statistics, UBC

Speaker invitation and scheduling for the department EDI seminar series.

Postdoctoral Teaching & Learning Fellow

University of British Columbia, Master of Data Science, Department of Statistics

Two-year appointment, completed June 2026. Primary instructor across MDS, statistics, and science courses.

• PrairieLearn assessment and rubric design; Quarto-based course websites; lecture materials on data visualization (Altair, ggplot2), simulation, and AI literacy
• Evaluator for MDS capstone presentations with industry partners including Clarius Mobile Health and VRIFY Technology
• Department of Statistics EDI Seminar Series coordinator; SEDI Committee postdoctoral representative (Sep 2025 - Jun 2026)

Judge, Science Case Competition 2025

UBC Faculty of Science (SCI TEAM)

Evaluated team presentations on BC wildfire resilience strategies.

Data Science Consultant (freelance, part-time)

Clause Technology

HAVA maritime criminal detection system: automated system with web scraping for incident reports; NLP-based incident classification; LLM-assisted similarity de-duplication; BERT/NER/fuzzy matching; dockerized architecture (MongoDB/PostgreSQL); cloud-ready. PDF table parsing pipeline (computer vision and OCR for complex tables; image preprocessing; variable extraction and standardization).

Mental Health Ministry Coordinator

Tenth Church

Monthly seminars; Sanctuary Course (8 weeks).

Member, Selection Committee

MasterCard Foundation and UBC

Reviewed approximately 150 scholarship applications for a fair and inclusive selection process.

Panelist, National Undergraduate Research Conference

UBC Neuroscience Club

323 attendees, 41 research presentations.

Data Scientist

Concussion RX

ML and statistical modeling for concussion subtype analysis; clinical onboarding documentation; ConcussionRX and Llama 3 toolchain.

Associate Editor

URNCST Journal

Mentored undergraduate research teams across natural and clinical sciences.

Teaching Assistant

University of British Columbia (MDS, Computer Science, Business Analytics, Medicine)

MDS courses: DSCI 522, 523, 524, 531, 532, 541, 551, 552, 553, 571, 573; BAIT 507, 509, 580A; CPSC 121, 322; DSCI 320; NRSC 501. MDS TA Award (2021/22).

Research Assistant

Addiction and Concurrent Disorders Group, Institute of Mental Health, UBC

E-mental health: WalkAlong; RAMP (Risk Assessment and Management Platform); conference organizing.

Research Assistant

BC Children's Hospital / CFRI, UBC

Microglia morphology in bipolar disorder and schizophrenia cortical tissue (Beasley Lab).

Research Analyst

NAI Interactive Ltd.

Biotech pipeline data mining and research.

Lab Technician

SickKids, PGCRL (Josselyn Lab)

Epitranscriptomics; optogenetics; operant behavior; DNA construct work; animal perfusions and imaging.

Research Assistant

Toronto Western Hospital, MDPU (McIntyre)

Big data and ML in psychiatry; meta-analysis on THC and cognition; first-author ML review.

PhD

University of British Columbia

Neuroscience (graduate program with fast-track transfer from MSc)

Honours BSc

University of Toronto

Neuroscience (major); Environmental Science and Religion (minors)

Mitacs Globalink Research Award

Mitacs Canada (2022-2023, $6,000 stipend and research costs)

Visiting research at University of Sydney, Brain & Mind Centre (Oct 2022 - Jan 2023): machine learning synergy for digital mental health with Prof. Ian Hickie and Dr. Frank Iorfino.

MDS Teaching Assistant Award (2021/22)

UBC Master of Data Science

Outstanding TA contributions across multiple MDS courses.

President's Academic Excellence Initiative PhD Award

University of British Columbia (2021-2023)

UBC program recognition for PhD research contributions.

UBC Research Day People's Choice (Lightning Talk and ePoster)

University of British Columbia

AI/ML overdose risk modeling.

Faculty of Medicine Graduate Award

University of British Columbia

NIDA Travel Award

NIDA ($500 USD, 2020 NIDA International Forum)

Semi-supervised vessel trajectory analysis for unregulated fishing activity detection

Engineering Applications of Artificial Intelligence 169, 113933

Rethinking AI in youth mental health: promise, perils, and ethical integration

International Journal of Mental Health Systems 20(1)

Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis

WIREs Computational Statistics 17(1), e70008

Clinical decision support systems in addiction and concurrent disorders: A systematic review and meta-analysis

Journal of Evaluation in Clinical Practice 30(8), 1664-1683

Architecture and development framework for a web-based risk assessment and management platform developed on WordPress to address opioid overdose

JMIR Formative Research 8, e49759

A call for an evidence-based strategy against the overdose crisis

The Canadian Journal of Psychiatry 69(1), 5-9

Exploring the potential and limitations of ChatGPT for academic peer-reviewed writing: Addressing linguistic injustice and ethical concerns

Journal of Academic Language and Learning 17(1), T16-T30

Adherence to e-health interventions for substance use and the factors influencing it: Systematic review, meta-analysis, and meta-regression

Digital Health 9, 20552076231203876

Decrypting the cryptomarkets: Trends over a decade of the Dark Web drug trade

Drug Science, Policy and Law 9, 20503245231215668

Medical students' views on psychiatry in Germany and Italy: Survey

International Journal of Mental Health Promotion 25(9), 985-993

Egyptian students open to digital mental health care: Cross-sectional survey

JMIR Formative Research 6(3), e31727

Treatment approaches and outcome trajectories for youth with high-risk opioid use: A narrative review

Early Intervention in Psychiatry 16(3), 207-220

Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry

Artificial Intelligence in Medicine 99, 101704

FLIP-IT, Federated learning for medical data

IKIM, University Hospital Essen; NEXT.IN.NRW-funded. Building federated chronic kidney disease risk prediction across general practice clinics using the Flower framework. Collaboration with Prof. Jens Kleesiek (IKIM), Prof. Michael Kamp (Lamarr Institute), and Dr. Moon Kim.

RAMP, Risk Assessment and Management Platform

Health Canada, Substance Use and Addictions Program. $1,407,790, Co-Investigator. An online overdose risk score with tailored feedback.

HAVA, Maritime criminal detection system

With Clause Technology and NCIS. Automated web scraping, NLP incident classification, BERT/NER/fuzzy matching entity resolution, LLM-assisted de-duplication, dockerized MongoDB/PostgreSQL deployment.