Personal profile
Research interests
Dr Wen Zhang is a Lecturer in Business Analytics. She obtained her PhD in Operations Research and Management Science from Warwick Business School. She has a broad interest in artificial intelligence (AI) and simulation. Her current research focuses on AI for social good (such as using natural language processing techniques to analyse CSR/ESG reports, legal documents, to generate insights for decision making effectively and efficiently), AI for professional service (such as the application in the insurance industry), and simulation optimisation (Bayesian optimisation, multiobjective optimisation and evolutionary algorithm). The source code of her research can be found on Github, and her research can be found on Google Scholar.
She is a recipient of the Warwick Business School Scholarship for PhD and the 2016 Winter simulation conference diversity award. She is a Fellow (D2) of the Higher Education Academy (FHEA). As a Principal and Co-Investigator, she has secured £1.5 million from major UK research councils including UKRI and ESRC.
She welcomes enquiries from prospective students with strong foundations in business analytics/operations research/operations management/natural language processing. Candidates should be proficient in at least one programming language (such as Matlab, Python, or R) and have research interests aligned with simulation optimization or AI applications for social impact. Scholarship information can be found on https://www.bristol.ac.uk/study/postgraduate/research/funding-and-scholarships/scholarships/
She also actively recruits research assistants on a rolling basis, including for remote positions.
Keywords
- Natural Language Processing
- Optimization
- Artificial Intelligence
- simulation
- Insurance
- ESG
- Legal
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Collaborations and top research areas from the last five years
Research output
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A decision support system for liability in civil litigation: a case study from an insurance company
Zhang, W., 3 Jan 2021, In: Annals of Operations Research.Research output: Contribution to journal › Article (Academic Journal) › peer-review
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Identifying efficient solutions via simulation: myopic multi-objective budget allocation for the bi-objective case
Branke, J. & Zhang, W., 2019, In: OR Spektrum.Research output: Contribution to journal › Article (Academic Journal) › peer-review
6 Citations (Scopus) -
Multiobjective ranking and selection based on hypervolume
Branke, J., Zhang, W. & Tao, Y., 2 Jul 2016, 2016 Winter Simulation Conference: Simulating Complex Service Systems, WSC 2016. Roeder, T. M., Frazier, P. I., Szechtman, R. & Zhou, E. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 859-870 12 p. 7822148. (Proceedings - Winter Simulation Conference; vol. 0).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
19 Citations (Scopus)
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Future Finance 4 All
Beaverstock, J. V. (Principal Investigator), Hickman, E. (Co-Principal Investigator), Collard, S. B. (Co-Principal Investigator) & Zhang, W. (Co-Investigator)
1/05/23 → 30/09/26
Project: Research
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Using Machine Learning to Analyze the Relationship Between Sustainability Disclosures and Financial Performance
Zhang, W. (Principal Investigator)
14/02/24 → 31/07/24
Project: Research
Prizes
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Winter Simulation Conference Diversity Award
Zhang, W. (Recipient), Dec 2016
Prize: Prizes, Medals, Awards and Grants
Activities
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The OR Society's Annual Conference
Zhang, W. (Speaker)
13 Sept 2022 → 15 Sept 2022Activity: Participating in or organising an event types › Participation in conference
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Decision and Cognitive Sciences Research Centre Seminars
Zhang, W. (Invited speaker)
Nov 2021Activity: Participating in or organising an event types › Invited talk
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LSE Roundtable: Taming Uncertainty
Zhang, W. (Speaker)
2019Activity: Participating in or organising an event types › Participation in workshop, seminar, course