Research Fellowship

2018 Schlumberger Innovation Fellow Recipients

Four School of Engineering students from the Computer Science and Electrical Engineering Departments have been granted the 2018 Schlumberger Innovation Fellowship. The Schlumberger Innovation Fellows Program is designed for CS and EE MS and PhD students interested in focusing their core studies in the areas of Internet of Things, Big Data, Analytics and Machine Learning, Higher Performance Computing, User Experience and Human Computer Interaction, 3D Modeling and Data Visualization, Virtual Reality, Security, or Machine Learning – Deep Learning.

These emerging technology areas hold great promise across many industries to improve performance, lower costs, increase accuracy and provide new research and business insights.

The 2018 recipients are:

Jennifer Lin is a master student majoring in Electrical Engineering at Stanford. She is excited to bring technology innovations to industries by combining IoT and machine learning. With Schlumberger’s leading experiences in oilfield industry, Lin believes she can gain a better insight in identifying the problems to be solved in related sectors and contribute in building innovative technologies to empower human’s exploration of resources in extreme environments.

Stephanie​ ​Dong is a​ ​first​ ​year​ ​Masters​ ​in​ ​Computer​ ​Science​ ​student,​ ​seeking​ ​to pursue​ ​practical​ ​applications​ ​combining​ ​Machine​ ​Learning​ ​(ML)​ ​and​ ​Human​ ​Computer Interaction​ ​(HCI).

Prior​ ​to​ ​the​ ​start​ ​of​ ​her​ ​MCSC​ ​at​ ​Stanford,​ ​Dong​ ​majored​ ​in​ ​Computer​ ​Science​ ​at​ ​the University​ ​of​ ​British​ ​Columbia. Covering​ ​a​ ​broad​ ​spectrum​ ​of​ ​topics,​ ​she​ ​dabbled​ ​in​ ​distributed​ ​systems, operating​ ​systems,​ ​parallel​ ​computation,​ ​and​ ​compiler​ ​construction​ ​and​ ​was​ ​asked​ ​to​ ​become​ ​a teaching​ ​assistant​ ​for​ ​the​ ​compilers​ ​course.​

Daniel Kharitonov is a Masters student in Computer Science, and a PhD student in Management Science, advised by Ron Howard. Prior to Stanford, he obtained his Bachelor's degree in Electrical Engineering from St. Petersburg State Technical University, Russia. His research revolves around unsupervised causal inference algorithms and Bayesian networks.

Robert Konrad is a 4th year PhD candidate in the Computational Imaging Group at Stanford University advised by Professor Gordon Wetzstein. His current research interests in virtual and augmented reality (VR/AR) are well aligned with Schlumberger’s interest in driving the industry’s digital technology adoption of such systems.

Aside from research, Konrad has taken an interest in educating about VR and AR. He has published in various student journals and magazines, delivered a TEDx in 2016 on the how current VR/AR display technologies don’t work for 50% of the US population, and has helped develop and teach a new course offered at Stanford: EE267, “Virtual Reality”. The course is technical by nature, and in it students learn about the hardware (optics, electronics, display, etc.) and software (computer graphics, orientation/positional tracking, haptics, etc.) components that make up a VR/AR display.

Previous Schlumberger Innovation Fellow Recipients

2017 Recipients


This program is made possible by Schlumberger, the oil and gas industry’s leading supplier of technology, integrated project management, and information solutions to customers worldwide, that is driving and transforming the industry’s digital technology.