CV

PhD candidate in computational neuroscience & applied ML/AI.

Summary

PhD candidate in Computational Neuroscience at UCLA (exp. August 2026) with over 12 years of experience spanning academic research, clinical settings, and industry startups across the US, UK, and Singapore. Trained across psychology, cognitive neuroscience, artificial intelligence, and neurogenetics (UC Berkeley, UCL, NUS, UCLA), with deep expertise in multimodal neuroimaging (MRI, fMRI, DWI, EEG), ML/DL, and statistical modelling applied to brain health and psychiatric conditions. Track record of bridging rigorous science with real-world impact — from large-scale neuroimaging pipelines and clinical ML systems to agentic AI tools, startup consulting, and regulatory strategy. Equally comfortable in research, engineering, and cross-functional roles. Open to applied research, AI/ML engineering, computational psychiatry, product science, consulting, or postdoctoral positions at the intersection of AI and health.

Experience

UCLA · Bearden Lab Dept. of Psychiatry & Biobehavioral Sciences · Advisor: Prof. Carrie E. Bearden PhD Candidate · Graduate Student Researcher
2022–present Los Angeles, CA Research
  • Led 5 independent first-authored projects applying ML and normative modelling to multimodal neuroimaging data (sMRI, fMRI, DWI) to characterise how rare genetic variants influence brain development (N > 500); first paper published in Biological Psychiatry: Global Open Science.
  • Collaborated on neuroimaging research resulting in 4 co-authored publications in Molecular Psychiatry, Biological Psychiatry, and Neuropsychopharmacology.
  • Built lab automation tools including a Slack-to-Notion pipeline for literature tracking; maintained lab servers and GitHub repositories.
  • Supervised undergraduate researchers and contributed to teaching at UCLA's Department of Psychiatry.
Vibe Science Neurotech / healthtech startup · Pre-seed → Seed Science Consultant
2025–present Remote / Singapore Industry
  • Designed EEG, HRV, and wearable-based study protocols for physiological validation and efficacy testing of neurostimulation devices.
  • Synthesized scientific evidence into product strategy and investor materials; liaised with FDA consultants to develop a regulatory roadmap.
Harvard Medical School · MGH Meditation Research Program · Advisor: Prof. Matthew D. Sacchet Graduate Research Intern — Neuropsychiatry
2021–2025 Remote / Boston, MA Research
  • Analysed clinical trial fMRI data (FAST-MAS, N=64) using individualized brain parcellation to identify precision biomarkers for treatment response in transdiagnostic anhedonia; published in Neuropsychopharmacology (2025).
Datature Computer vision AI platform startup · Pre-seed → Seed Applied ML Specialist — Medical Imaging
2022–2024 Remote / Singapore Industry
  • Bridged clinical and engineering teams — scoping medical imaging requirements, translating them into technical specifications, and communicating AI/ML concepts to non-technical stakeholders.
  • Produced technical documentation and tutorials supporting client onboarding in neuroimaging and medical imaging workflows.
Neuroglee Therapeutics Digital therapeutics startup · Series A Applied Research Scientist
2021–2022 Singapore Industry
  • Defined feature prioritization and clinical assessment design for a digital therapeutic app for early cognitive decline, deployed through hospital partners across the US.
  • Synthesized Alzheimer's and BCI literature and analysed user engagement data to drive product improvements and clinical relevance.
National University of Singapore · Sleep & Cognition Lab NUS Yong Loo Lin School of Medicine · Advisors: Prof. Michael Chee & Asst. Prof. Ju Lynn Ong Research Associate
2020–2021 Singapore Research
  • Analysed large-scale pediatric neuroimaging data (ABCD study, N > 10,000) using ML and statistical modelling to study associations between 24-hour movement behaviours and brain structure in children; published in Journal of Adolescent Health (2023).
National University of Singapore · CIRC Clinical Imaging Research Centre · Advisors: Prof. BT Thomas Yeo & Dr. Mary Stephenson Data Scientist — Clinical Neuroimaging
2019–2020 Singapore Research
  • Provided quantitative MRI data analysis support to clinical researchers across multiple studies; initiated development of a U-Net segmentation pipeline for automated brain lesion detection in stroke patients.
  • Developed and open-sourced a Python tool for 3D NIfTI brain image midsagittal flipping enabling lateralisation analyses — available on GitHub.
Nanyang Technological University · Clinical Brain Lab Advisors: Prof. Annabel Chen & Dr. Shu-Hui Lee Research Associate — Cognitive Neuroscience
2016–2018 Singapore Research
  • Led a multimodal neuroimaging study (N > 100, healthy and ADHD populations) from experimental design through data collection and manuscript preparation; standardised lab preprocessing pipelines.
  • Conducted clinical recruitment at the Institute of Mental Health, coordinating participant screening and MRI scanning sessions.
  • Co-authored a publication on fMRI investigation of hot and cool executive functions in reward and competition; published in Sensors (2025).
University College London · Metacognition & Executive Functions Group Institute of Cognitive Neuroscience · Advisor: Prof. Sam J. Gilbert Student Research Assistant
2015–2016 London, UK Research
  • Designed and conducted an fMRI study with healthy participants to decode neural representations of self- and other-directed intentions using MVPA; published in NeuroImage (2018).
University of California, Berkeley · Gopnik Lab Cognitive Development Lab · Advisors: Prof. Alison Gopnik & Dr. Adrienne Wente Undergraduate Research Assistant
2013–2015 Berkeley, CA Research
  • Transcribed videos and coded behavioral responses from children and adults across age groups for a study on cognitive flexibility and causal inference; co-authored publication in PNAS (2017).

Education

PhD, Neuroscience University of California, Los Angeles
exp. 2026
MComp, Artificial Intelligence National University of Singapore
2022
MRes, Cognitive Neuroscience University College London
2016
BA, Psychology University of California, Berkeley
2015

Skills

Programming
PythonRMATLABBashGitSQLHTML / CSSLaTeX
ML / DL
PyTorchTensorFlowscikit-learnHuggingFaceCaretnormative modellingGLMmixed-effects modelsICAMVPAPLSCCNNU-NetVision Transformer
LLM / Agentic AI
LangChainLangGraphMCPRAG pipelinesprompt engineeringOpenAI APIAnthropic API
Neuroimaging
FSLFreeSurferSPMMRtrix3HCP / QuNexANTsfMRIPrepAFNISUITDICOM / NIfTIsMRI / fMRI / DWI / EEG
Data viz
MatplotlibSeabornggplot
Infrastructure
DockerSingularityHPC / LinuxZapierMake.comDigitalOcean
Research
experimental designclinical trial analysisIRB protocolsscientific writingBioRenderCanva

Awards

NEURO2024 Travel Award for Foreign Scientists, JSBP (2024)

Graduate Dean’s Scholar Award, UCLA (2022–2024)

Top Consumer AI Product, SLINGSHOT / EnterpriseSG (2019)

Winner, Data Innovation Challenge, Rolls-Royce (2019)

Departmental Honors, Psychology — UC Berkeley (2015)

Publications

See the Publications page for the full list with DOIs.