We're building a digital future for surgeons

I'm an engineering leader with a track record of building engineering organizations and shipping software / hardware products across different stacks, ranging from embedded systems to web applications. My interests are at the intersection of healthcare and technology, and I'm an advisor to startups and founders in the tech space. Prior to SDSC, I spent over six years at Oculus/Facebook/Meta in the Metaverse space, building and managing teams working on the first mobile VR devices, operating systems, business use cases and mixed reality frameworks. Outside of work, I enjoy traveling, hiking, and coffee roasting.

As a Machine Learning Engineer at Surgical Data Science Collective (SDSC), my aim is to use computer vision and data science techniques for the benefit of surgical patients, and to explore new SOTA methods. I like to research new techniques within the fast-paced artificial intelligence field and come up with useful ways that I can implement them. In my spare time I enjoy reading, rowing, hiking and swimming.

Dr. Daniel Donoho is a neurosurgeon who develops machine learning systems to make surgery safer. His NIH-funded research lab creates computer vision-based methods for surgical performance assessment and feedback.

As a Senior Machine Learning Engineer at SDSC, my main objective is to explore new frontiers in surgical data science and utilize cutting edge computer vision techniques to advance capabilities of artificial intelligence on surgical videos. I have a PhD in electrical engineering with a focus on statistical signal and image processing and many years of industry experience building machine / deep learning algorithms using smart devices and cameras for object detection, tracking and classification. In my spare time, I enjoy spending time with my family, reading, hiking and playing pickleball.

As the Marketing Manager, I'm responsible for connecting SDSC to the right people who will make our vision for the future of digital surgery a reality. More practically, I work on branding, product positioning, and client acquisition. With over a decade of experience in startup marketing, I love helping category-defining organizations change the way people think about what's truly possible. My past experience has been entirely with companies redefining their industries by harnessing technology to change the way people interact—whether that's shopping, communicating, or transferring knowledge. Outside of work, I like to perform with my improv team, travel, and spend time with my friends and family.

As Research Partnership Manager at SDSC, I’m focused on strengthening and expanding our collaborations with medical institutions, researchers, and industry partners. I bring over six years of experience in multi-site healthcare research, with a particular focus on aligning operational capabilities with the evolving needs of the medical and research community. My work centers on building strategic relationships, fostering seamless collaboration, and supporting research initiatives that move surgical data science forward. Outside of work, you’ll usually find me hiking Minnesota trails with my family, reading, or planning our next travel adventure.

I'm a generalist systems engineer, with a background in mobile operating systems and high-scale cloud platforms. I join SDSC as a technical lead, from my restored farmhouse in Galicia, Spain.

As a Software Engineer at Surgical Data Science Collective (SDSC), I am passionate about changing the landscape of the surgical world by tackling a major technology gap in the field of medicine. By leveraging my expertise in backend development, my goal is to help build a strong and robust infrastructure for surgeons to view and share their work and also support machine learning insights. In my free time, I like reading, hiking and learning about history.

As Partnership Associate at Surgical Data Science Collective (SDSC), I focus on driving the top of the funnel by identifying and connecting with potential partners and leads in healthcare, research, and industry. My role is about finding the right people, building relationships, and helping align their needs with SDSC’s solutions in surgical data science. I enjoy learning from different perspectives and turning those insights into opportunities for collaboration and growth.Outside of work, I love to surf, travel, and snowboard, always seeking out new places and experiences.

"As the Director of Machine Learning at Surgical Data Science Collective (SDSC), I am passionate about applying technology to make a positive impact. My work involves leading research focused on utilizing video data from surgeries to develop tools that can provide surgeons with relevant feedback and insights on their performance. Some of my past projects include developing spatially explicit models for risk assessment, computer vision models for automatic tree measurements, and generative adversarial networks for visual simulation of reforestation. My professional interests involve deep learning, computer vision, software engineering, product development, image processing, science writing and advocacy for diversity in STEM. In my free time, I like to hike, climb, travel, work on photography/short movie projects and spend time with my family and friends."

Andy Natusch is Head of Talent at SDSC and the first connection most candidates have with the organization. With 15+ years of recruiting experience, he partners with leadership to build high-performing teams and share SDSC’s mission to improve surgical outcomes. Andy ensures every candidate’s first interaction reflects the culture and vision of SDSC.

As the Labeling Manager at Surgical Data Science Collective I am responsible for overseeing efforts to turn raw surgical videos into machine learning-ready datasets. In practice, this means that I act as a bridge between the Machine Learning team and our labelers and proactively implement ways to improve the accuracy and efficiency of our labeling processes. I am passionate about respecting the humans in our human-in-the-loop labeling pipelines – without their efforts and expertise none of this would be possible! I have a PhD in Biochemistry and Biophysics from Oregon State University and in my free time I volunteer with a local Makerspace, moonlight as a Science Witch helping kids and adults playfully explore scientific concepts, practice my rhythm roller skate moves, and jump at every karaoke opportunity that presents itself.

As a Software Engineer at Surgical Data Science Collective (SDSC), I am passionate about harnessing the power of software development to make a significant difference in the healthcare field. I find immense satisfaction in knowing that my skills and efforts are part of a larger mission to improve healthcare outcomes. It’s not just about writing code; it’s about creating solutions that impact lives. Outside of work, my joys include family time, taking walks on nature trails, and relaxing with a good book.

I'm a resident in Neurosurgery at Stanford, and I've worked extensively at taking operating room video and turning it into actionable data from the early days of SDSC. I love building, and at SDSC enjoy working with both the engineering and clinical teams to design and improve platforms, and ensure our partners see value in the data they analyze.

As Chief Operating Officer of Surgical Data Science Collective (SDSC) I manage all non-technology aspects of the organization, including strategy, finance, legal, partnerships, and human resources. I have extensive experience in international business, entrepreneurship, angel investing, and nonprofit governance and finance. I believe in a future where surgical data and AI are harnessed to save lives by making quality surgical care available across the globe. I enjoy my family, museums, books, cooking, and spending time in wild places.

As a Software Engineer at Surgical Data Science Collective (SDSC) with a strong focus on front-end development, I am dedicated to creating seamless and intuitive user interfaces with modern web technologies to improve user experiences. I thrive on the challenges of optimizing performance, usability, and accessibility to deliver exceptional software solutions. Beyond my professional commitments, I enjoy keeping up to date on advancements within nutrition, artificial intelligence, and chess.

As a Data Analyst at Surgical Data Science Collective (SDSC), I focus on uncovering insights from surgical video data to help improve outcomes and support data-driven decision making. My work involves building reports, analyzing datasets, and creating intuitive visualizations to guide research and development. I collaborate with ML engineers and researchers to make sense of data and translate it into actionable knowledge. Apart from work, I like badminton and hiking.

As the Product Manager at Surgical Data Science Collective (SDSC), I am responsible for making sure our customers gain the utmost value from our products. Some of my responsibilities at SDSC include researching new features, helping to manage the design and development work, and learning user behavior. I define myself as a builder, passionate about creating new digital platforms and solutions for early stage startups/companies. My personal hobbies include reading, snowboarding, and chess.

As Chief of Staff, I'm focused on enabling Dan, supporting the processes and operational rhythm of the SDSC team, and providing additional leadership and operational bandwidth. I'm mission oriented and extremely motivated to ensure that new and emerging technologies are responsibly developed in service of humanity. My previous work experience includes the British Army, the Foreign Commonwealth and Development Office, McKinsey & Company, and Meta, and spans leadership roles, people management, human resources, and operations. Outside of work, I'm a keen equestrian, bibliophile, and adventurer.

Kate Wilson is Senior Adviser, Strategy and Business Development at SDSC. For over 30 years, she has worked at the intersection of global development and technology, committed to expanding access to trusted digital tools that improve lives. In 2016, she founded the Digital Impact Alliance, a “think, do, replicate” tank that championed holistic approaches to digital public infrastructure and data. She served as CEO until January 2023 and is now writing a book on digital public infrastructure and artificial intelligence alongside her advisory work. Previously, Kate founded and led PATH’s Digital Health Solutions group, supporting more than 30 countries in Africa and Asia on enterprise architectures and policy frameworks. Earlier in her career, she held strategy and product roles at GE, Intel, and Microsoft, where she helped launch Xbox Live in Europe. Kate holds graduate degrees from the University of Michigan and a B.A. from William and Mary. She lives in Seattle with her family.

I am a physician-scientist with a strong enthusiasm for AI. With a background in both medicine and engineering, as well as recognition through awards and impactful research in the field, I enjoy exploring and applying state-of-the-art AI to surgical video analysis and feedback. I value being part of SDSC for its exceptional team and its potential to shape the future of intraoperative assessment and feedback. I consider my work a hobby. Outside of work, I enjoy playing soccer, traveling, and spending time with family and friends.

I am on the ML team where I work on developing computer vision models for analyzing surgical video data. I started my career as a biology researcher where I studied immune system control through genetic engineering at UNC Chapel Hill. From there I did my Master's in computer science from NC State where I worked on biomedical video analysis, language model trustworthiness evaluation, and reinforcement learning for simulation-based prosthetics modeling. I'm passionate about researching and building anything AI! In my free time you can find me reading or rock climbing!