Keiji AIAbout Us
Welcome to Keiji AI, where our expert team is breaking new ground in generative AI for clinical trial optimization. We collaborate with industry leaders like Medidata and IQVIA, bringing innovative solutions to complex clinical challenges.
Our research doesn't just advance our products; it contributes to the broader scientific community. Explore our publications to see how we're shaping the future of AI in clinical trials.
Our Team
Jimeng Sun
Jimeng Sun is the CEO of Keiji AI and a Professor of Computer Science at UIUC, recognized as a top AI leader in drug discovery and healthcare. With extensive experience in AI research and applications at IQVIA and IBM Research, his work has led to AI solutions deployed at MGH, IQVIA, and UCB. A renowned expert in AI-driven healthcare innovation, he leads Keiji AI's mission to transform clinical trials with cutting-edge AI and machine learning technologies.
Zifeng Wang
Zifeng Wang is the Head of AI at Keiji AI, specializing in generative AI for clinical trial applications. With PhD from UIUC, he has a strong background in machine learning, previously working as an ML engineer at Tencent, Amplitude, Medidata, and AWS. His expertise bridges cutting-edge AI research and practical deployment, driving innovation in AI-powered solutions for clinical development. At Keiji AI, he leads AI strategy and model development, transforming how clinical trials are designed and executed.
Benjamin Danek
Benjamin Danek is the Head of Engineering at Keiji AI, bringing expertise in machine learning and software engineering to advance AI-driven solutions in clinical trials. With experience as a machine learning researcher at NIH and a software engineer at New Relic, he combines deep technical knowledge with scalable engineering practices. At Keiji AI, he leads the development of robust AI infrastructure and engineering solutions, ensuring seamless deployment and integration of AI models into clinical trial workflows.
Brandon Theodorou
Brandon Theodorou is the Head of Data at Keiji AI, bringing a strong blend of academic research and industry expertise in AI-driven healthcare solutions. With a BS from Harvey Mudd and PhD at UIUC, he has conducted research at NIH and IQVIA, tackling complex data challenges in life sciences. His industry background includes software engineering roles at Microsoft and ServiceNow, equipping him with the technical depth to drive innovation in clinical AI. At Keiji AI, he leads data strategy, leveraging advanced analytics to transform clinical trial operations.