I am a Ph.D. candidate in Computer Science at Worcester Polytechnic Institute. My advisor is Prof. Elke Rundensteiner and I am a member of the Data Science Research Group (DSRG). My research focuses on Machine Learning, Data Mining, Predictive Analytics and their applications to healthcare. Currently, I am working on deep learning models with attention mechanisms to predict healthcare-associated infections using clinical time series and text data. I received my M.Sc. degree from Koc University, Turkey in 2015 and my BS degree from Yildiz Technical University, Turkey in 2010, both in Computer Science and Engineering. Throughout my masters studies, I worked as a research assistant at Koc University Intelligent User Interfaces (IUI) Lab. Prior to my graduate studies, I worked as a software engineer in the banking sector for three years.

You can find my resume here.

NEWS

  • January 1st, 2018: Registration is now open for WiDS Central Mass. For more information and to register, see here.
  • December 15, 2017: We are organizing Women in Data Science (WiDS) Central Massachusetts Conference on March 5, 2018, which will run ​concurrently with the annual Global WiDS Conference at Stanford University and numerous other venues all over the world. These events aim to inspire and educate data scientists, regardless of gender, support women in the field, and feature exclusively female speakers. For details check out our website.
  • December 12, 2017: Our paper, "Early Prediction of MRSA Infections Using Electronic Health Records", is in a short list of candidates to win the HEALTHINF 2018 best student paper award!
  • October 16, 2017: NEW PAPER - Our paper "Early Prediction of MRSA Infections Using Electronic Health Records" has been accepted for HEALTHINF 2018 as a full paper!
  • September 20, 2017: I presented our paper, "CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining", at ECML PKDD 2017, Skopje, Macedonia.
  • August 19, 2017: I attended Machine Learning for Healthcare (MLHC) 2017. It is an annual research meeting that exists to bring together two usually insular disciplines: computer scientists with artificial intelligence, machine learning, and big data expertises, with clinicians, and medical researchers. See details here.
  • June 23, 2017: NEW PAPER - Our paper, "CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining", has been accepted to ECML PKDD 2017 as a full paper!
  • May 15, 2017: INTERNSHIP - I will be working as a graduate research intern at the Anticipatory Computing Lab at Intel Labs, Hillsboro, Oregon. It will be a very exciting experience for me. See more information about Intel Labs here.
  • May 11, 2017: Ph.D. CANDIDACY - Today, I have successfully defended my PhD Research Qualifier in a public presentation to the CS department. Congrats to me on achieving this important milestone! Thanks to my advisors Prof. Elke Rundensteiner and Prof. Xiangnan Kong.
  • February 8, 2017: AWARD - I received the People’s Choice award at Graduate Research Innovation Exchange (GRIE) event at WPI!
  • October 19-21, 2016: I attended Grace Hopper Celebration of Women in Computing in Houston,TX. Grace Hopper Celebration is the world’s largest gathering of women in computing and it is organized by the Anita Borg Institute for Women and Technology and the Association for Computing Machinery. It was an excited event and a very good opportunity to reach out for support and inspriration from many brilliant researchers around the world.
  • April 8, 2016: I received a plate from the Koc University, Turkey for my patent application filed in 2015.
  • February 5, 2016: I attended 2016 Google CAM PhD Summit. It was an invite-only event exclusively for doctoral students in Computer Science. We were given a keynote speech from Director of Research Peter Norvig, presentations from leading Google researchers and software engineers, and had a number of networking opportunities.
  • December 7, 2015: I attended Women in Machine Learning Workshop 2015 in Montreal, Canada. It was a day-long technical workshop which gives female faculty, research scientists, and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other. WIML is co-located with NIPS. I presented a poster there.
  • September 2015: I started my PhD in Worcester Polytechnic Institue, Worcester, USA.