Tam Pham
Clinical Psychology Registrar at South Western Sydney Local Health District
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolTam Pham is a Clinical Psychology Registrar and PhD candidate based in Sydney with six years of cross-cultural clinical and research experience spanning public mental health, private hospital settings, and university clinics. Trained at Macquarie University and Nanyang Technological University, Tam blends frontline geriatric mental health practice with rigorous research in clinical psychology, while tutoring and supervising foundational counselling skills. Beyond clinical work, Tam contributes as a data scientist and algorithm developer to NeuroKit2, improving ECG delineation and complexity indices for neurophysiological signal analysis—an unusual technical complement to a clinical career. This combination of hands-on patient care, research training, and open-source signal-processing contributions positions Tam to bridge clinical insight with quantitative methods in mental health research and service delivery.
6 years of coding experience
1 year of employment as a software developer
A levels, Science Stream, A levels, Science Stream at Anderson Junior CollegeDoctor of Philosophy - PhD, Clinical Psychology, Doctor of Philosophy - PhD, Clinical Psychology at Macquarie UniversityBachelor of Art, Psychology, Bachelor of Art, Psychology at Nanyang Technological University Singapore
Github Skills (7)
algorithms10
time-series10
mathematical10
python10
modeling10
signal-processing10
data-analysis10
Programming languages (5)
Github contributions (5)
neuropsychology/NeuroKit
Dec 2019 - Jun 2022
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Role in this project:
Data Scientist & Algorithm Developer
Data Scientist & Algorithm DeveloperContributions:22 reviews, 786 commits, 86 PRs in 2 years 7 months
Contributions summary:Tam made significant contributions to the NeuroKit2 project, particularly in the area of signal processing and analysis. Their commits involved the development of new methods for ECG delineation, including a Wavelet method, and the improvement of existing algorithms, like the one for the Heart Rate Variability (HRV) analysis. Additionally, the user worked on expanding the project's scope to include new indices of complexity analysis (Katz, Higuchi, etc), and ensured the correct behavior of methods by adding, for example, a correction for when there is little data available.
signalentropyheart-ratepythonneuroscience
ClinicalBrainLab/clinicalbrainlab.github.io
Jun 2020 - Oct 2021
Website of ClinicalBrainLab at NTU, Singapore
Contributions:5 reviews, 227 commits, 26 PRs in 1 year 4 months
ntusingaporejekyll
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