Written by Nicole Meng
Nicole Meng is a PhD candidate in Electrical and Computer Engineering at Tufts University, where her research focuses on advancing the security and privacy of generative vision models. She holds a B.S. in Computer Science, Applied Math, and Economics from Brandeis University and an M.S. in Computer Science from the University of Connecticut. Prior to her graduate studies, Nicole worked as a full-stack software engineer at Pegasystems, where she contributed to their Workforce Intelligence software development and security enhancements.
Written by Sabine Schleise
Sabine Schleise is a research engineer with a background in computer science. Her work focuses on reality capture, including 3D reconstruction and neural rendering techniques like NeRFs and Gaussian Splatting. She’s particularly interested in bridging the gap between cutting-edge research and real-world applications.
Written by Preetish Kakkar
Preetish Kakkar is a senior computer graphics engineer with over 15 years of expertise in C++, Vulkan, Metal, and OpenGL, specializing in 3D graphics, AR/VR/XR, and physically based rendering. Preetish has held senior roles at Adobe, Microsoft, and MathWorks, where he led the development of advanced rendering engines and AI-driven simulations. Preetish is the author of The Modern Vulkan Cookbook and is passionate about computer vision, neural processing, and generative AI applications. He has presented at numerous conferences, including VishwaCon and TechX, and is a recognized contributor to the open-source bgfx library.
