Contribute to the Conversation: Algorithmic fairness

Join us at our fringe event at ICML in Stockholm where a panel of experts will debate the theme of algorithmic fairness.

The panel will include experts from the corporate and academic world to discuss this increasingly important topic. All of the findings from the event will contribute to a paper to be released in Autumn. The panel will be chaired by QuantumBlack's Global Head of Data Science, Didier Vila. 

Confirmed panelists:

Dr. Ines Marusic, QuantumBlack 

Dr Ines Marusic is a data scientist at advanced analytics firm, QuantumBlack, a McKinsey Company. During her tenure at QuantumBlack, she has worked on projects in a range of different industries including finance, insurance, and pharma. Her research interests include explainability and fairness in machine learning. Ines holds a PhD in Computer Science from Oxford University. Whilst studying, she co-founded the Oxford Women in Computer Science Society and served as the society’s first president. She also co-founded and was a co-organiser of the annual Oxbridge Women in Computer Science Conference. In addition, during her time at Oxford University, Ines served on the Computer Science department’s Equality and Diversity Committee. Ines is passionate about getting more women into STEM careers and more specifically into data science.

Samuel Corbett-Davies, Stanford University

Sam Corbett-Davies is a Fulbright Scholar and fifth year PhD candidate in computer science at Stanford University. He studies methods for identifying bias in human and machine decisions, particularly decisions made throughout the US criminal justice system. Sam is presenting an ICML tutorial on Defining and Designing Fair Algorithms alongside Sharad Goel. 

Polina Mamoshina, Insilico Medicine & Oxford University  

Polina Mamoshina is a senior research scientist at Insilico Medicine, Inc, a Baltimore-based bioinformatics and deep learning company focused on reinventing drug discovery and biomarker development and a part of the computational biology team of Oxford University Computer Science Department. Polina graduated from the Department of Genetics of the Moscow State University. She was one of the winners of GeneHack a Russian nationwide 48-hour hackathon on bioinformatics at the Moscow Institute of Physics and Technology attended by hundreds of young bioinformaticians. Polina is involved in multiple deep learning projects at the Pharmaceutical Artificial Intelligence division of Insilico Medicine working on the drug discovery engine and developing biochemistry, transcriptome, and cell-free nucleic acid-based biomarkers of aging and disease. She recently co-authored fourteen academic papers in peer-reviewed journals. 

Schedule: 

6.30pm – Reception & Canapes

7.00pm – Panel

8.00pm – Drinks & Light Snacks 

#DiversityofPerspective