I am a PhD candidate at Imperial College London in Applied Mathematics. I was graduated as an Electrical & Electronics Engineer from Bogazici University in 2014, and MSc in Finance from Sabanci University in 2015. I have been employed by a telecom network, a social data agency, and a global broadcaster for various positions. I have worked as a marketing professional specialised in Digital Media, a project manager to build social CRM services for multinational companies, a data analyst for social data analytics for marketing and customer care, and a data scientist. Currently, I am affiliated with a research group at Imperial College London and TRT Network’s Audience Insights team.
My research interest lies where #mathematics joins #humanities based on #data. There has to be people and algorithms involved in.
In general, I like working on various subjects related to natural language, social networks, community detection, and data science.
[20019/09/10] - #D4R book is published! We have two contributed chapters in it: Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul and Policy Implications of the D4R Challenge
[2019/07/08] - We joined NetMob 2019 for Data for Refugees Special Session.
[2019/03/01] - We presented our D4R project at Data Natives 2019.
[2019/01/24] - Our paper “From free text to clusters of content in health records: an unsupervised graph partitioning approach” is out on Applied Network Science from SpringerOpen.
[2018/08/20] - We submitted a conference paper to 2018 KDD Workshop on Machine Learning for Medicine and Healthcare. I made a lightening speech and presented our poster.
[2018/06/11] - Our abstract was selected the best submission to NetMed (satellite to NetSci 2018) and I made an oral presentation in Paris - France. Here is the full program.
[2017/12/11] - I was invited to make a speech at TRT’s Umep Training Program in Antalya - Turkey.