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SUMMARY:Career panel - Tina Fallah\, Hatice Gunes\, Camilla Longden\, Yoli
  Shavit
DTSTART:20161103T130000Z
DTEND:20161103T140000Z
UID:TALK68499@talks.cam.ac.uk
CONTACT:40443
DESCRIPTION: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 ca
 reer development.\n\n*Speakers:*\n\n*Tina Fallahi\, Google*\n\nTina Fallah
 i is a Software Engineer at Google\, where she focuses on a cross-team eff
 ort between Android and Geo to build accurate\, efficient\, and always-on 
 mobile place interface. She earned her Master's in Computer Science at Uni
 versity College London\, and spent two summers at Google\, first in Poland
  and then in the USA\, before joining Google full time in the London offic
 e. Her interests include personalization features\, Machine Learning\, and
  learning new languages! \n\n--\n\n*Hatice Gunes\, University of Cambridge
  Computer Laboratory*\n\nHatice Gunes is a Senior Lecturer (Associate Prof
 essor) at University of Cambridge's Computer Laboratory. Prior to that she
  was a Senior Lecturer in the School of Electronic Engineering and Compute
 r Science at Queen Mary University of London (QMUL)\, a postdoctoral resea
 rcher 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. Sh
 e has authored numerous papers in these areas\, and her work to date has r
 eceived over 2200 citations (current H-index=22). \n\n--\n\n*Camilla Longd
 en\, Microsoft Research*\n \nCamilla Longden is a software development eng
 ineer at Microsoft Research in the newly created Agile Projects Team (APT)
 . The team consists of several small\, flexible teams of engineers with br
 oad experience of platforms\, languages\, technologies and deployment stra
 tegies who work with groups throughout the lab to design\, build\, deploy 
 and to some degree support a large array of projects. Previously\, she wor
 ked as a software engineer at ARM and before that studied for an MSci & BA
  in Physics at the University of Cambridge (Downing College).\n\n--\n\n*Yo
 li Shavit\, Owlstone*\n\nYoli Shavit is a researcher and an algorithm deve
 loper at Owlstone (Cambridge\, UK). Her work focuses on developing a machi
 ne learning framework for detecting novel disease bio-markers from breath 
 and urine\, currently targeting lung cancer\, colon cancer and asthma. Pri
 or to joining Owlstone\, she held a research associate position at the Com
 puter Laboratory (University of Cambridge)\, where she also completed her 
 doctoral studies. Her PhD thesis on algorithms for reconstructing the 3D g
 enome architecture was nominated for the Distinguished Thesis Award 2016.\
 n\n\n
LOCATION:Computer Laboratory\, William Gates Building\, Room FW26
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