Curriculum Vitae
Current Position
Research Fellow in Artificial Intelligence
evidENT (evidence-based Ear, Nose and Throat)
UCL Ear Institute
January 2024 - Present
Education
PhD, University College London, 2024
"Measurement of feedback in voice control and application in predicting and reducing stuttering using machine learning"
BSc Psychology, University College London, 2019
First Class Honours
Grants and Awards
Innovation Seed Fund - RNID (2025)
Lead applicant: "Bridging the Gap: Digitising hand-drawn hearing tests for big data research and improve hearing"
Small Grant Fund - Centre for Equality Research in Brain Sciences, UCL (2025)
Lead applicant: "Equity in Clinical Hearing Outcomes across Sociodemographics"
Win-A-Brite Award - Artinis Medical System BV (2021)
"Integrating real-time fNIRS with biofeedback to promote fluency in people who stutter"
EPSRC Doctoral Training Program Grant (EP/R513143/1), 2019
Teaching
Lectures
- Introduction to Epidemiology; An Introduction to Systematic Reviews and Meta-analysis (EARI0019 & EARI0047) - UCL Ear Institute
- Computational Models of Speech Production; Speech Production & Machine Learning (PSYCH0029) - UCL Psychology and Language Sciences, 2025
- Using PsychoPy3 for Psychological Experimentation - MRes Developmental Neuroscience, UCL, 2024-25
- Introduction to Language (PSYCH0039) - UCL Psychology, 2024-25
Supervision
PhD Students
- Lilia Dimitrov - Understanding hearing loss phenotypes (2023, subsidiary supervisor)
- Zhizing Yang - Social factors and anxiety in children who stutter (2024, thesis committee)
MSc/MRes Students
- Chun Chan (2025), Claudia Papi (2022), Aakash Gokolgandhi (2022), Junchao Hu (2020), Seren Alaeddinoglu (2020), Si Zhang (2020)
BSc Students
- Yeun-Bing Ooi (2025/6), Priyadarshini Venkatesh (2022), Jingya Kong (2021)
Conference Presentations
- Bayesian Optimisation of Pure-Tone Audiometry Through In-Silico Modelling - Auditory Science Meeting, Nottingham, 2025
- Clinical Information Extraction from ENT Letters: Comparing LLMs to Expert Clinician Performance - Virtual Conference of Computational Audiology, Miami, 2025
- Synthesising and Validating Audiometric Data - British Society of Audiology, Birmingham, 2024
- Using Neurostimulation in Speech Research - National Stammering Clinical Excellence Network, 2019
Skills
- Programming: Python (NumPy, SciPy, Scikit-Learn, TensorFlow, PyTorch, PsychoPy3), Swift
- Machine Learning: Audio/speech data, neural data, feature engineering, RNNs, LSTMs
- Neuroimaging: fNIRS, fMRI, EEG
- Neurostimulation: tDCS, tACS
- Statistics: Classical and Bayesian methods
- Signal Processing: Digital signal processing for audio and neural data