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I am a staff data scientist at the logistic startup Hive ,
where I am working on intelligent agents and data solutions in the logistics and fullfillment space.
I also work as a freelance data scientist with the
Wild Dolphin Project.
The goal is to use Machine Learning to discover patterns in Dolphin Communication.
Before, I was a software engineer with a specialisation in machine learning
at Meta (former facebook)
working on audience building and targeting. I was also working as a data scientist working at the e-commerce
company Shopify where I worked on
building an email marketing tool for the growth organisation.
My fist job after my PhD was at a social network called Xing in Hamburg
where I was working on Recommender Systems and Machine Learning.
I received a PhD in computer science from the Georgia Institute of Technology.
I also worked as a graduate research assistant in the
Contextual Computing Group under Thad Starner.
Before joining Georgia Tech I was a student assistant in the
intelligent systems research group at University Bremen. I wrote
my Diploma Thesis (Diploma is a German, similar degree to a
Masters) in the same research group and worked there as a researcher for
a short period of time. I also worked as a software developer for
mobile applications on the android and iOS platform in the
Neusta Software Development Group.
Problem domains I am currently interested in include:
learning to rank, recommender systems, deep learning, gesture recognition,
bio acoustic modeling of dolphin communication.