Daniel McDonald spent years at STAR/RHIC while a graduate student at Rice University, getting his masters from his work on the TOF detector and his PhD from the higher moments of net-particle distributions in the Beam Energy Scan. He is the former lead of the STAR fluctuations PWG and a member of the UEC. Following a Postdoc at the University of Houston working on the ALICE experiment, he...
Javier Orjuela-Koop obtained his doctorate from the University of Colorado in 2018. His thesis comprised an exploration of various aspects of kinetic transport in small-system collectivity, as well as a measurement of separated heavy-flavor production in proton collisions using the PHENIX silicon tracker. Since leaving academia, he has found a rewarding career in the world of self-driving...
Dr Frank Laue received his PhD in 1999 from Frankfurt University. He spent 2 years as a Post Doc at The Ohio State University and 6 years at BNL before leaving science for Wall Street in 2007. He worked for various Investment Banks and Asset Managers in NYC and California. He is currently an SVP at loanDepot, the nations 2nd largest non-bank mortgage lender.
Jan Uphoff did his PhD at the Goethe University Frankfurt in 2014 investigating heavy flavor in heavy-ion collisions at RHIC and LHC through numerical Monte Carlo simulations. After graduating he joined a startup offering Data Science as a Service to companies in the retail sector. Since 2017 Jan has been working at Booking.com – the world’s largest Online Travel Agency. He joined as a Data...
Tim Schuster graduated from Frankfurt University in 2012 with a thesis on fluctuations in heavy-ion collisions. He analyzed data from the NA49 experiment at CERN, and contributed simulations to the original STAR Beam Energy Scan proposal. Tim continued his research at Yale University, studying correlations through ALICE at CERN. Since 2015, Tim has worked in data science-related roles at...
Betty Abelev graduated from Yale with a doctorate in Experimental Nuclear Physics in 2007, and then continued work on multi-strange baryons at Lawrence Livermore Lab, as a part of the ALICE collaboration. She left academia to pursue data science in the industry in 2013, and since then worked as a data scientist in several startups, one of which grew into a large corporation. That company is...
The European Commission published the "Ethics Guidelines for Trustworthy AI" in 2019. Currently, also major USA governmental organizations and corporations call for “responsible AI”. I will give you concreate examples of the relevant challenges and technical solutions from the real-life deep learning applications in recruitment industry.
'Matching of candidates to jobs by AI' is no longer...
Industry adoption of deep learning computer vision has been driven by easy to use deep learning frameworks such as PyTorch and TensorFlow combined with the widespread availability of GPU compute and cheap cameras. By applying computer vision to images and video-streams, governments are generating societal benefits. Applications range from protecting minors by identifying sexual abuse to...
