Invited talks

2017 – present, Guest Lecturer @ Imperial College Business School, “Machine learning for credit risk evaluation,” annual lecture for MSc students in Financial Economics and Business Analytics
2020 webinar with FDP Institute, “Challenges of Algorithmic Fairness in Financial Services” Link
2017 Panellist @ UCL, “Creating unbiased algorithms in a biased society,” invited on a panel as a part of the London Data Science Festival

2021 Speaker @ Credit Scoring and Credit Control Conference XVII, “Spelling errors & non-standard language in peer-to-peer loan applications and the borrower’s probability of default”
2021 Speaker @ AI, Ethics, and Society Conference, “Risk Identification Questionnaire for Unintended Bias in Machine Learning Development Lifecycle”
2021 Speaker @ ACM CHI Conference on Human Factors in Computing, “Landscape and gaps in open source fairness toolkits”
2020 Speaker @ Oxbridge Women in Computer Science, “Spelling errors in peer-to-peer (P2P) loan applications and probability of default”
2020 Speaker @ Alan Turing Institute, AI UK Virtual Poster Session
2019 Speaker @ AI@Oxford, lightning talk on “Silver lining of AI: fairness in a biased society”
2018 Speaker @ Oxbridge Women in Computer Science, “Fairness trade-offs in machine learning”
2017 Speaker @ Women in Data Science London, “New risks of artificial intelligence”
2017 Speaker @ Deloitte Shared Services Conference, “EMILIE Chatbot”
2017 Speaker @ Data Natives Berlin, “Governing AI Risks”
2017 Panellist @ Data Natives Berlin, “Chatbots Panel”
2016 Speaker @ QCon London, “Applied machine learning: predicting criminal recidivism”

Awards

2022 2nd Place, Google-Deloitte Sustainability Hackathon
2021 Winner, Best Paper Award, ACM CHI Conference on Human Factors in Computing
Standout 35 winner in the 2020 Innovate Finance Women in FinTech Powerlist. Link
2020 Winner, Best presentation in “one-minute madness,” Oxbridge Women in Computer Science
2020 Longlisted Most Influential Women in UK Tech, Computer Weekly. Link
2019 Winner, ACM SIGAI Essay Competition on Artificial Intelligence
2019 Winner, AI@Oxford Student Essay Competition on “Greatest opportunities and challenges of AI”
2018 Shortlisted Nominee for Digital Professional of the Year, Digital Technology Leaders Awards
2018 Top 5 in Europe: “Best use of data to achieve social impact” @ DatSci Awards for pro bono project forecasting demand for homeless shelters around the UK

Non-academic awards

2022 winner, Oxford-Cambridge Varsity Blind Wine Tasting Competition (London, UK) Documentary Link
2022 5th place, Agro Blind Wine Tasting Competition (Reims, France)

Computer Lab feature “Improving diversity ‘would benefit society'” (2021). Link

“Most Influential Women in UK Tech: The 2020 longlist.” Computer Weekly (2020). Link

“Aviva-Cambridge Annual Report 2019-2020” University of Cambridge (2020). Link

Featured researcher: Aviva PhD student Michelle Seng Ah Lee” Link

67 Pall Mall documentary: Oxford vs. Cambridge Varsity Blind Wine Tasting Match Link