Vitchakorn Poonyakanok

01

About

I am a Physician & Clinical Data Analyst (known as Blue) and a Travel Medicine Resident at the Institute of Preventive Medicine, Thailand. I specialize in bridging clinical practice with data architecture, currently pursuing a Master of Science in Digital and AI Technologies in Health Systems at Chulalongkorn University, with an upcoming Master of Science in Health Care Analytics at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy (2026).

Current_Focus: "National Vaccine Registry & Public Health Data Initiatives"

vk.poonyakanok@gmail.com

6+ Years Clinical Practice 4+ Years Data Analysis 2 Publications 21+ Certifications

02

Experience

Clinical & Research

2024 — Present Current

Travel Medicine Resident

Institute of Preventive Medicine, DDC, MOPH

Nonthaburi, Thailand

2024 — Present Study Leave

General Practitioner

Pattayarak Health Unit, ODPC 6, DDC, MOPH

Chonburi, Thailand

2022 — 2024

General Practitioner

Bamrasnaradura Infectious Diseases Institute

Nonthaburi, Thailand

2020 — 2022

General Practitioner (Intern)

Si Songkhram Hospital

Nakhon Phanom, Thailand

2019 — 2020

General Practitioner (Intern)

Nong Khai Hospital

Nong Khai, Thailand

Education

Aug 2026 Incoming

Master of Science in Health Care Analytics and Information Technology (MSHCA)

Carnegie Mellon University’s Heinz College of Information Systems and Public Policy

Pittsburgh, PA, USA

2025 — Present

Master of Science Program in Digital and AI Technologies in Health Systems (DigiHealth)

Chulalongkorn University

Bangkok, Thailand

2013 — 2019

Doctor of Medicine (MD)

Mahidol University (Ramathibodi Hospital)

Bangkok, Thailand

2010 — 2013

High School

Triam Udom Suksa School

Bangkok, Thailand

03

Expertise

Travel Medicine

Pre-travel health risk assessment & counseling
Immunization strategy & vaccination scheduling
Tropical & emerging infectious disease diagnosis
Malaria prophylaxis & post-travel fever evaluation
Altitude illness prevention & management
Epidemiological surveillance & outbreak response

Health Informatics

Clinical decision support system design
National vaccine registry architecture
Machine learning for clinical risk stratification
Health data interoperability
Digital disease surveillance & epidemic intelligence
NLP for clinical text mining & data extraction

03

Selected Projects

Featured Work

AI Clinical Decision Support

Altitude Itinerary Analyzer

AI-assisted travel medicine tool for extracting and analyzing complex itineraries for high-altitude risk assessment.

Live AppArtificial IntelligenceClinical Decision SupportTravel Medicine

BNK and CGM48 election predictive analysis notebook preview

Kaggle Notebook

BNK/CGM48 4th General Election Predictive Analysis

Technical case study using end-to-end ML (Scraping to Prediction) to forecast election outcomes in the entertainment industry.

Machine LearningWeb ScrapingPrediction

04

Publications

001

An Investigation of MMR‐Related Mumps Cluster Following Immunization Among Practical Nursing Students, Bangkok, Thailand, 2024

Journal of Tropical Medicine (Wiley) · Aug 1, 2025

DOI: 10.1155/jotm/9974081

Show detail

Contributors: Sethapong Lertsakulbunlue, Drunphob Srithammavong, Kamonchanok Tepsittha, Hataya Kanjanasombut, Vitchakorn Poonyakanok, Viravarn Luvira, Phimphan Pisutsan, Rachata Charoenwisedsil, Pathomthep Leowattana, Peeriya Watakulsin et al.

This study investigated a cluster of mumps-like cases among practical nursing students following MMR vaccination, identifying operational risk factors and confirming vaccine-related mumps infections through molecular analysis. Recommendations were made to improve vaccination campaign processes.

002

Preliminary investigation and rapid response to methanol intoxication outbreak linked to illegal herbal liquor in Bangkok, August 2024

Weekly Epidemiological Surveillance Report (WESR) · Sep 6, 2024

DOI: 10.59096/wesr.v55i9.3248

Show detail

Contributors: Charuttaporn Jitpeera, Watcharapol Rongdech, Kogkawee Raruenroeng, Vitchakorn Poonyakanok, Panita Kumphon, Kawinna Kerdsalung, Rittichai Jaipong, Tatcha Manta, Thanawan Gabbhirom, Somrak Sirikhetkon, Kanyarat Jarudilokkul, Kantakarn Nilsum, Thanach Photphisutthiphong, Nattinee Isarankura, Wichan Bhunyakitikorn

As of September 3, 2024, 44 individuals were investigated under methanol intoxication outbreak related to illegal herbal liquor in Bangkok, August 2024, including 20 confirmed cases, 10 probable cases, and 8 suspected cases. Eight deaths were reported, with a gender ratio of 9.25 males per 1 female, and the median age of patients was 39 years.

05

Training

Super AI Engineer Season 6

Advanced AI Level 2 Participant

AIAT · Apr-Jun 2026 · Selected 150 from 10,000+ applicants

AIAT's applied AI training and real-world project incubation program, covering image processing, signal processing, natural language processing, big data analytics, IoT, and robotics through workshops and hackathons.

Housing Team

The Scamper Visit Team Site

Certificate

Foundation AI (Theory) Apr 2026 Verify

Level 1 Minihacks

From Data to InsightCert Colab Agentic Pipeline Hackathon: 2026 Thai Election OCR ChallengeRank 102/571Cert Colab Kaggle FahMai RAG HackathonRank 132/660Cert Colab Kaggle

Level 2 Online

Parasite EggsRank 16/166Kaggle Built a cascaded parasite egg detector/classifier for noisy stool microscopy, reaching a 0.24657 Kaggle score through COCO-to-YOLO conversion, a YOLOv8 hunter, gold-label validation, SAHI-style high-resolution inference, and a DINOv2 specialist head with morphology and background calibration for debris, rulers, and microscope edges.

Level 2 On-site

Demand Forecasting at ScalePrivate Kaggle rank #1 · 2nd runner-up overall Built a leakage-aware demand forecasting pipeline for the Coffee Chain Hackathon using time-series feature engineering, model blending, and robust validation across 30 on-site teams from 6 housing teams. Edge-AI for Intelligence Transport SystemCo-honorable mentionProject Helped build an edge CCTV vehicle analytics pipeline for 10 cameras at NT Chaeng Watthana, using YOLO/ONNX Runtime on Jetson Nano boards, ROI tuning, tracking, vehicle type/color metadata, SQLite event logs, and exportable CSV answers. WellSense AIoT & System Product HackathonAcademic Popular Vote Developed a wearable running-form analysis system with Arduino Nano 33 BLE Sense IMU capture, Arduino UNO Q model inference, compact BLE telemetry, and a mobile React dashboard for live posture, form score, alerts, and run summaries.

Introductory Epidemiology & Biostatistics

DDC/MOPH

Field Epidemiology Training Program · Jun 10-Jul 5, 2024

Field Epidemiology

Introductory Course in Epidemiology and BiostatisticsJun 10-Jul 5, 2024 · DDC, MOPHView FETP-led intensive course organized by the Department of Disease Control, MOPH, with applied epidemiology and biostatistics training for public health field practice.

Clinical Epidemiology & Statistics

Chiang Mai University

Center for Clinical Epidemiology & Clinical Statistics · Faculty of Medicine · 2022

Clinical Epidemiology

Diploma in Clinical EpidemiologySep 10-Dec 18, 2022 · Chiang Mai UniversityView Program of study in clinical epidemiology from the Center for Clinical Epidemiology & Clinical Statistics, Faculty of Medicine, Chiang Mai University.

Clinical Statistics

Diploma in Clinical StatisticsFeb 5-May 22, 2022 · Chiang Mai UniversityView Program of study in clinical statistics from the Center for Clinical Epidemiology & Clinical Statistics, Faculty of Medicine, Chiang Mai University.

06

Skills & Certifications

Technical Stack

Core Tools