13.04.2019, Poznań University od Technology

Our speakers

Ines Montani

Ines is a developer specialising in applications for AI technology. She's the co-founder of Explosion AI and a core developer of spaCy, one of the most popular libraries for Natural Language Processing, and Prodigy, an annotation tool for radically efficient machine teaching.

Anna Wróblewska

Anna Wróblewska is assistant professor at Warsaw University of Technology. She has years of experience in the design of intelligent systems and description of semantic data acquired in a commercial and scientific environment. She is also a senior data scientist at Applica.ai, in charge of several R&D projects about text-mining, image recognition, and model diagnostics and interpretability.

Previously she worked at Allegro, the biggest e-commerce marketplace portal in Eastern Europe, where she dealt with the intelligent methods of data analysis. She is the author of over 35 publications in Polish and international journals and materials. Her main research interests are focused on machine learning in practical applications, primarily the semantic understanding and modeling data and their interpretability.

Maria Knorps

IPhD in Fluid Mechanics. For the last 10 years I have been working on mathematical modelling of particles in turbulent flows and numerical simulations on HPC. My professional goal is application of mathematical concepts such as stochastic calculus to real-life problems. I believe that visualization is a key to present highly abstract concepts and, in opposition to Fortran and Python which I have been writing in the longest, I have a growing interest in functional programming. Currently I use my experience in the world of Data Science in IF Research Poland. Privately I am mum of two extraordinary boys.

Hanna Nowicka

Hanna is a final year neuroimaging PhD student at the University of Oxford. An engineer by training, she currently works in the hospital developing methods for brain MR image analysis. Her area of interest lie in changes due to ageing and neurodegenerative diseases. In her free time she loves learning languages and playing football.

Agnieszka Ławrynowicz

Agnieszka Ławrynowicz, PhD, Dr Habil., is an Assistant Professor at the Faculty of Computing and Founding Member of Center for Artificial Intelligence and Machine Learning (CAMIL) at Poznan University of Technology.

She has lead or participated in several both research and industry funded projects related to data science and machine learning, including EU FP7 project e-LICO aimed to build an intelligent assistant for data mining. She obtained a Marie-Curie fellowship in the topic of Web mining (University of Ulster), was a laureate of the Foundation for Polish Science under the POMOST program.

She has been a member of Organising and Program committees of major conferences on knowledge engineering, data science and AI (WWW, IJCAI, AAAI, ISWC, ESWC, K-CAP, EKAW, and others), co-chair of W3C Machine Learning Schema Community group, and visitor to several research labs, including BMIR at Stanford University (USA), UPM-OEG (Spain), Jozef Stefan Institute (Slovenia), University of Geneva (Switzerland), and others.

Stefania Druga

Stefania Druga is the creator of Cognimates platform for AI education and a research associate at MIT Media Lab. Currently she is also leading Hackidemia organization (mobile lab for maker Education present in 40 countries), Afrimakers (community of Maker projects in 10 African countries) and MakerCamp (global camps for learning how to build and run makerspaces).

Irina Vidal Migallón

Irina is an Electrical Engineer & Biomedical Engineer who specialised in Machine Learning & Vision. Seasoned in different industries -from optical biopsy systems in France to surgical planning tools and Augmented Reality apps in the Berlin start-up scene-, she joined Siemens Mobility's growing CV & AI team. Even more than waking up Skynet, she's interested in the limits of Natural Intelligence and its decisions over our data.