Jayeeta Putatunda
Jayeeta Putatunda
Indellient US Inc., USA
Talk: Power of Transfer Learning in NLP: Build a Text Classification Model Using BERT
Jayeeta is a Senior Data Scientist with 4+ years of industry experience. Currently, she is working on machine learning and NLP projects and explores a lot of state-of-the-art models to build cool products at Indellient US Inc., a leading software development and IT professional services company working with Fortune 100 companies. Prior to that, she worked at Deloitte. Jayeeta is also engaged with some amazing organizations like Women Who Code and Women Tech Network to promote and inspire more women to take up STEM and often leads technical webinars and talks. She received her Master of Science in Quantitative Methods and Modeling from City University of New York, NY and Bachelor of Science in Economics and Statistics from West Bengal State University, India.
Yama Anin Aminof
Yama Anin Aminof
MyPart, Israel
Talk: Can You Sing with All the Voices of the Features?
Yama is a data scientist at MyPart, an Israeli startup in the music industry, developing algorithms and researching lyrical and musical song features. In her spare time, she gives tech talks at conferences and meetups (Geektime Code, PyData Tel Aviv, IsraelClouds); and mentors a group of developers through their first steps in the data science world as a part of Baot - Israel’s largest community of senior female engineers and computer scientists. Yama has a B.Sc in mathematics and physics from Tel Aviv University where she also expresses her passion for music by playing the saxophone in the TAU Wind Band.
Mikhail Burtsev
Mikhail Burtsev
DeepPavlov.ai, Russia
Talk: DeepPavlov Agent: Open-source Framework for Multiskill Conversational AI
Mikhail Burtsev is a head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. He is also a founder and leader of open-source conversational AI framework DeepPavlov. Mikhail had proposed and co-organize a series of academic Conversational AI Challenges (including NIPS 2017, NeurIPS 2018, EMNLP 2020). His research interests are in the fields of Natural Language Processing, Machine Learning, Artificial Intelligence and Complex Systems. Mikhail Burtsev has published more than 20 technical papers including – Nature, Artificial Life, Lecture Notes in Computer Science series, and other peer-reviewed venues.
Thomas Wolf
Thomas Wolf
HuggingFace, Netherlands
Talk: An Introduction to Transfer Learning in NLP and HuggingFace
Thomas Wolf is co-founder and Chief Science Officer of HuggingFace. His team is on a mission to catalyze and democratize NLP research. Prior to HuggingFace, Thomas gained a Ph.D. in physics, and later a law degree. He worked as a physics researcher and a European Patent Attorney.