Month: June 2021

ontology of value

Career Development Strategies E057 Why Taking an Aptitude Test Could Change Your Career: On The Ontology of Value (ODYSSEY) Test

What is you natural way of creating value for the society? In which working environment will you be the happiest, and the most appreciated? The Ontology of Value: Discovering Your Source of Value for the Society & The Environment That Values You (ODYSSEY) Test is a powerful tool for white-collar professionals. Take the test to discover what is your natural way of creating value for other people, in which roles you would thrive, and in which tribes in the job market would fit you best. Gaining this knowledge will have a tremendous impact on your professional life! It will allow to find your edge in the job market and excel.

Krzysztof Choromanski

Career Development Strategies E056 From PhD In Graph Theory To Google Brain Robotics

Dr. Krzysztof ChoromaƄski is a Research Scientist at Google Brain Robotics New York and an Adjunct Assistant Professor at Columbia University.
Prior to joining Google, he completed his PhD at Columbia University working on structural graph theory (Ramsey-type results, in particular the Erdos-Hajnal Conjecture). His interests include structural & random graph theory, robotics & reinforcement learning, quasi Monte Carlo methods for machine learning, Riemannian optimization and more recently, attention-based architectures for sequential data with applications in robotics (memorization, lifelong learning), bioinformatics and vision.

Davide Valeriani, PhD

Career Development Strategies E055 How Do Brain-Computer Interfaces Work And What Can They Achieve? Career In BCIs As a PhD

Dr. Davide Valeriani is a senior machine learning scientist at Neurable, a Boston-based startup developing EEG-based brain-computer interfaces (BCIs) for enhancing focus and controlling external devices. He obtained his bachelor and master degrees in computer engineering from the University of Parma (Italy), and his PhD in computing and electronic systems from the University of Essex (UK), developing collaborative BCIs for improving group decision-making. Between 2018 and 2021, he was a postdoc at Mass Eye and Ear / Harvard Medical School, working on deep learning algorithms to diagnose dystonia from MRI data. Dr. Valeriani’s research interests are in the areas of computational neuroscience, machine learning, brain-computer interfaces and decision-making. He is also a passionate mentor, loves cooking and playing with his cat Gin.