Lecturer
- About
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- Email Address
- yongchao.huang@abdn.ac.uk
- School/Department
- School of Natural and Computing Sciences
Biography
2013-2017, DPhil Engineering Science (Oxford)
2016-2017, MLRG (Oxford), Bayesian/Markovian
2017-2019, Senior Data Scientist in Actuarial industry (UK), machine learning/data science
2019-2022, Postdoc in CS (Oxford), machine learning/reinforcement learning/Gaussian process
2022-2023, Senior Research Associate in MLG/CBL (Cambridge), probabilistic machine learning
2023-2024, collaborator, MLG/CBL (Cambridge)
2023-, Lecturer/Assistant Professor in CS, machine learning
External Memberships
Service to community:
1. PC member, ECAI 2024
2. Organisor committee, Bioinference 2024
3. Guest editor, Journal of Theoretical Biology
Others: Chartered Management Institute (Level 5, 2019), Royal Statistical Society, etc.
- Research
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Research Overview
Broadly classic and modern approaches, theories and applications. Typically,
- Physics-informed machine learning
- Bayesian, MCMC, variational inference
- Generative modelling
- DL, RL, dynamical systems (differential equations - applied maths)
- Interdisciplinary & AI for science. e.g. vision, biology, mechanics, engineering materials/structures, energy, environment, climate, finance, etc.
Research Areas
Accepting PhDs
I am currently accepting PhDs in Computing Science.
Please get in touch if you would like to discuss your research ideas further.
Computing Science
Accepting PhDsKnowledge Exchange
Welcome academia/industry collaborations, knowledge exchange and public engagement.
Supervision
As of 2024, I have independently supervised 42 UK Msc students theses on ML, data science and business analytics.
- Accepting PhDs for 2023/2024 entries.
- Open to supervise seasonal (e.g. final year/MPhil/summer/visiting) research projects within topics of mutual interest.
- Research-focused projects may involve mathematical, statistical analysis, computational methods, and/or standard software development practice. Training and supervision can be provided within my expertise and networks.
- I hope students can balance work and life, and most importantly, be happy.
Interested candidates please feel free to get in touch.
- Teaching
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Teaching Responsibilities
Having taught following courses in the past:
1. Coordinator: <Introduction to Software Engineering>, Aberdeen, 2023
2. Coordinator: <Software Process and Management>, Aberdeen, 2024
3. Practicals: <3f8: Inference>, Cambridge, 2023
Others: Linear Algebra, ML, Engineering Maths (summer schools)