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Career panel

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Our speakers are here to recount their personal experiences of applying for jobs in academia and in industry, give practical advice on different career paths, and discuss opportunities at various stages of career development.


Tina Fallahi, Google

Tina Fallahi is a Software Engineer at Google, where she focuses on a cross-team effort between Android and Geo to build accurate, efficient, and always-on mobile place interface. She earned her Master’s in Computer Science at University College London, and spent two summers at Google, first in Poland and then in the USA , before joining Google full time in the London office. Her interests include personalization features, Machine Learning, and learning new languages!

Hatice Gunes, University of Cambridge Computer Laboratory

Hatice Gunes is a Senior Lecturer (Associate Professor) at University of Cambridge’s Computer Laboratory. Prior to that she was a Senior Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL), a postdoctoral researcher at Imperial College London, and an honorary associate of University of Technology, Sydney (UTS). Her research interests are in the areas of affective computing and social signal processing that lie at the crossroad of multiple disciplines including, computer vision, signal processing, machine learning, multimodal interaction and human-robot interaction. She has authored numerous papers in these areas, and her work to date has received over 2200 citations (current H-index=22).

Camilla Longden, Microsoft Research

Camilla Longden is a software development engineer at Microsoft Research in the newly created Agile Projects Team (APT). The team consists of several small, flexible teams of engineers with broad experience of platforms, languages, technologies and deployment strategies who work with groups throughout the lab to design, build, deploy and to some degree support a large array of projects. Previously, she worked as a software engineer at ARM and before that studied for an MSci & BA in Physics at the University of Cambridge (Downing College).

Yoli Shavit, Owlstone

Yoli Shavit is a researcher and an algorithm developer at Owlstone (Cambridge, UK). Her work focuses on developing a machine learning framework for detecting novel disease bio-markers from breath and urine, currently targeting lung cancer, colon cancer and asthma. Prior to joining Owlstone, she held a research associate position at the Computer Laboratory (University of Cambridge), where she also completed her doctoral studies. Her PhD thesis on algorithms for reconstructing the 3D genome architecture was nominated for the Distinguished Thesis Award 2016.

This talk is part of the Women@CL Events series.

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