Our Team

Building AI infrastructure for equitable healthcare. We combine expertise in health policy, data science, and operations to create privacy-first solutions for European health systems.

Daniel Townsend, PhD

Daniel Townsend, PhD

CEO & Founder

Daniel's career spans health technology, global health policy, and data science. He served as an advisor to WHO and the Global Fund on digital health strategy, and previously worked at Boston Consulting Group and Canada's federal and provincial health agencies. Daniel has advised governments on embedding equity and accountability in health data and machine learning systems.

Kya Blackstone, JD

Kya Blackstone, JD

Chief Operating Officer

Kya holds a Juris Doctor from The George Washington University. She spent nearly a decade in finance at Goldman Sachs and Citigroup, leading cross-functional initiatives to streamline legal and operational workflows, strengthen compliance systems, and improve efficiency across global teams. Her leadership combines design thinking with operational precision—aligning people, process, and product to scale responsibly and ensure strategic clarity across Loretta's institutional partnerships.

Utkarsh Upadhyay, PhD

Utkarsh Upadhyay, PhD

Head of AI

Utkarsh brings deep expertise in AI and machine learning, with a PhD from MPI-SWS and an MS from EPFL, where he received the Prix ECLA Informatique for highest GPA. He was formerly CTO and co-founder at Reason.al, where he led technical strategy and product development. Utkarsh has published research in Nature, PNAS, and NeurIPS, and contributes to open-source projects including SciPy and CPython. At Loretta, he leads the development of federated learning systems and causal AI models that power the platform's predictive analytics while preserving patient privacy.

Amita Singh, PhD

Amita Singh, PhD

Head of Product

Amita has an engineering background with an interdisciplinary master's in IoT and is completing her PhD in Production and Operations Management at Brandenburg Technical University. She previously consulted for Tata Motors on engineering workflows and technology integration, and founded Thread, an AI-powered translation startup. At Loretta, Amita applies her expertise in product strategy and AI integration to drive user-centered innovation.

Michael Albrecht

Michael Albrecht

Head of Business Development (External)

Michael's career spans luxury brand leadership, retail strategy, and nonprofit engagement, united by a commitment to cultural storytelling and inclusive innovation. He held senior roles at Louis Vuitton, IWC Schaffhausen, and Meissen, and served as CEO in premium retail. At the Berlin Chamber of Commerce (IHK), he supported startups and workforce solutions, connecting emerging ventures with institutional partners. Michael is also an Advisory Board member at Ideas in Motion, an NGO fostering entrepreneurship in Rwanda.

Zhasheken de Guia

Zhasheken de Guia

Full Stack Software Developer

With a broad background in data management, AI algorithms, and software development from the University of Alberta, Zhasheken focuses on building compelling applications that bridge the gap between technology and the human experience. At Loretta, she commits her programming and design skills to building the complex software that shapes the platform's impact, driven by a passion for making technology accessible, effective, and impactful.

Michael Kummer

Michael Kummer

Data Scientist

Michael holds degrees in both Psychology and Economics from the University of Alberta. His experience spans coordination in the non-profit sector, historical settlement demographic research for the Government of Alberta, and placing in the top three of a Society of Actuaries essay competition for his fraud loss modelling. As a Data Scientist at Loretta, he brings this diverse analytical perspective to healthcare challenges.

Piper Rome

Piper Rome

Clinical Researcher

Piper is a Life Sciences (Honours) student at Queen’s University whose research spans biomedical data analysis, health equity, and AI-enabled disease modeling. She has contributed to studies on socio-economic barriers to neurosurgical care and machine-learning approaches for early detection of Alzheimer’s disease. At Loretta, she applies this academic and clinical research background to support evidence-based, patient-centered chronic disease prevention.

Our Approach

See How the Science Works

Our team brings together health policy, causal inference, and systems engineering to build infrastructure that European health institutions can trust. Learn more about the scientific foundations behind Loretta.

Explore the science