About Harshini Jayaram is the Director of Business Operations & Growth at Snorkel AI, a company that helps enterprises build cutting-edge, data-centric AI solutions. Prior to Snorkel, she worked at Microsoft and was most recently a part of Azure Identity, where she helped companies move from legacy solutions to modern, cloud-based offerings. Harshini’s experience also reaches into the public sector, including time …
Honglu Zhou
Honglu Zhou is a CS PhD student at Rutgers University. Her work was published in renowned journals and conferences (CVPR, ICLR, ECCV, etc.). She received a Best Paper Award from CIKM 2022. She had collaborations with Salesforce Research, NEC Labs, Google Research, YouTube and DeepMind. Her research interests lie in video understanding, machine reasoning, multimodality, etc.
Gideon Mann
About
James Dunham
About James is an NLP Engineer at Georgetown CSET, where he collaborates with SMEs to solve inference problems, specializing in applications of ML to scientific text. James previously worked on open civic data at MIT’s Election Lab; developed survey methods at the MIT Political Experiments Research Lab; and taught at NYU.
Jilei Hou
About
John Semerdjian
About John is a Tech Lead/Manager at Snorkel AI where he builds ML features and collaborates with Snorkel’s customers on complex applications. Previously, he worked at the intersection of NLP and healthcare. He has a Master’s in Information Management and Systems and a Bachelor’s in Public Health, both from UC Berkeley.
Karla Arteaga
About Karla owes her unique experience and perspective to having lived on four different continents. Karla has dedicated most of her adult life to learning and practicing yoga, meditation, consciousness, and spirituality. This includes 200 hour Sivananda yoga teacher training, 200 hour Vinyasa yoga teacher training, 2,000 hour Isha Hatha yoga teacher training, and multiple meditation, spirituality, and movement courses. …
Kristina Liapchin
About Kristina is a Product Lead at Snorkel AI, where she oversees the core capabilities that enable enterprises to adapt and apply powerful foundation models/LLMs to real-world use cases.