MOCS Teaming Profiles
This page is designed to help facilitate connections between prospective proposers, which ARPA-H anticipates will be necessary to achieve the goals of the Making Obstetrics Care Smart (MOCS) program. Prospective performers are encouraged (but not required) to form teams with varied technical expertise to submit a proposal.
If either you or your organization are interested in teaming, please create a profile via the ARPA-H Solutions Portal linked below. Your details will then be added to this page, which is publicly available.
Please note that by publishing the teaming profiles list, ARPA-H is not endorsing, sponsoring, or otherwise evaluating the qualifications of the individuals or organizations included here. Submissions to the teaming profiles list are reviewed and updated periodically.
MOCS Teaming Profiles
To narrow the results in the Teaming Profiles List, please use the input below to filter results based on your search term. The list will filter as you type.
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| Peter Washington | University of California, San Francisco (UCSF) | peter.washington@ucsf.edu | San Francisco, CA | Dr. Peter Washington's research lab, the UCSF TECH Lab, develops methods to enable digital diagnostics and interventions from remote technologies, including multimodal wearable sensors. Relevant to the MOCS program, we have a large initiative already in place - funded by NSF's SCH program with Dr. Washington as PI - to use AI to predict repeat health events of interest (e.g., blood pressure spikes) using passive wearable biosensors (e.g., HRV, SpO2, EDA, skin temperature, breathing rate, etc). | Dr. Washington is happy to contribute to forming teams as the "wearable biosensing AI" partner. We are passionate about improving outcomes for pregnant women and their children, and we can provide the AI expertise to teams innovating on the sensor development and providing the clinical expertise. Out existing NSF Smart and Connected Health (SCH) grant is exactly aligned with AI monitoring of adverse health events from wearable biosignals. Additionally, Dr. Washington has existing connections wit | Collaborator, TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Michael Rein | AFFOA | michael@affoa.org | Bedford, MA | AFFOA pioneers advanced fiber and textile technologies that integrate sensors, electronics, and data networks into textile based wearable systems. Efforts focus on scalable manufacturing of smart fabrics for physiological monitoring, including seamless integration of biosensors for real-time data capture for continuous health monitoring. Our capabilities focus on sensor integration, electronics development, system integration and producing deployable prototypes to be used in field environment. | AFFOA seeks partners with expertise in biomedical sensing, obstetric device development, clinical validation, and data analytics. We are happy to partner with any organization that is interested in developing a wearable textile based product to solve MOCS program challenges. | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, Collaborator |
| Kasie Bailey | Truveta | kasieb@truveta.com | Seattle, WA | Truveta has over 130 million EHR RWD for RWE. This also includes over 1 million mother-child deterministic linkages that have at least 6 years of longitudinal history. Available in real time and research ready. | Innovative partners who have a solution that needs RWD/RWE. | TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Peter Washington | University of California, San Francisco (UCSF) | peter.washington@ucsf.edu | San Francisco, CA | Dr. Washington's research lab, the UCSF TECH Lab, builds digital diagnostics and interventions using AI applied to devices such as wearables. In particular, Dr. Washington is the PI of an NSF Smart and Connected Health (SCH) grant on predicting repeat adverse health events (e.g., blood pressure spikes) from wearable biosignals read from consumer and resesarch-grade devices. This work is directly in line with the goals of MOCS: continuously monitoring the placenta using non-invasive wearable AI. | Dr. Washington is aiming to partner with team members with expertise on the hardware/sensor development side. Dr. Washington is happy to parter with clinical experts as well. Additionally, Dr. Washington has existing connections with the OBGYN clinics at UCSF (for a separate project), and has established pipelines for both EHR and community recruitment services through UCSF Health. We can loop in these partners as well. | Collaborator, TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Soheil Ghiasi | University of California, Davis | ghiasi@ucdavis.edu | Davis, CA | My research team has been working to develop an non-invasive sensor system for intrapartum measurement of fetal blood oxygen saturation and fetal blood pH. | Looking for 1) malpratice attorneys who specialize in obstetrics, and 2) those with expertise in "wearable ultrasound" systems. | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia |
| Jundong Li | University of Virginia | jundong@virginia.edu | Charlottesville, VA | AI, Machine Learning, and Data Science | I am looking for teams that need my expertise in AI/ML/data science | Collaborator, Collaborator |
| Justin Chan | Carnegie Mellon University | justinchan@cmu.edu | Pittsburgh, PA | Contactless health sensing systems | Medical expertise | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia |
| Chen Chen | University of Virginia | zrh6du@virginia.edu | Charlottesville, VA | My research focuses on developing trustworthy and efficient machine learning methods for complex networked systems, with applications in health informatics, computational epidemiology, and infrastructure analytics. My expertise lies in graph machine learning, data-driven optimization, and AI-based modeling for large-scale interconnected systems and real-world applications to advance data science and artificial intelligence. | We are looking for teaming partners with expertise in maternal health, clinical obstetrics, biomedical sensing, or digital health technology. Ideal collaborators include clinicians and practitioners developing AI-driven monitoring, predictive modeling, and decision-support tools to improve maternal and neonatal outcomes through intelligent, data-informed obstetric care systems. | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, Collaborator |
| Gilles Clermont | NOMA AI, Inc. | g.clermont@noma.ai | Pittsburgh, PA | Risk stratification for post-partum hemorrhage; emergency triage solution; machine learning & AI; time series & continuous signals | Device manufacturers that could provide raw fetal heart rate data | TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Steve Falk | GE HealthCare | steven.falk@gehealthcare.com | Waukesha, WI | Perinatal Product Development | Developing sensors to insights in the Labor, Delivery, and Newborn Care space | TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Mark Evans | KLS LLC | Evans@CompreGen.com | Las Vegas, NV | Our focus is from the start of labor through the 1st hour postpartum using our new methodology for the interpretation of EFM, incorporating contextualization of its interpretation using maternal, obstetrical and fetal risk factors and increased uterine activity. We have shown considerably improved and earlier detection of risk. We have 19 refereed publications and 20 patents. We are currently finishing our platform for widespread testing including a wearable device for postpartum monitoring. | Hospital organizations having urban and rural high and low risk patients, medical device manufacturing companies. | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia |
| Tyona Pike | F&I Foresight Initiatives | Pikesforesightinitiatives@gmail.com | Cookeville, TN | We actively support research and innovation efforts through case management, patient advocacy, and care coordination. Our organization is open to collaboration that advances maternal health outcomes, patient engagement, and data-driven service delivery in alignment with health research and development goals. | We are open to conversations with potential teaming partners, including but not limited to healthcare researchers, technology developers, maternal health innovators, academic institutions, and clinical organizations. We seek collaborators dedicated to advancing safe, data-driven, and patient-centered care to improve maternal and infant health outcomes. | Collaborator |
| Ashley Copenhaver | Netrias | acopenhaver@netrias.com | Annapolis, MD | Netrias focuses on two key areas powered primarily by machine learning/artificial intelligence: 1) predictive modeling to identify and monitor biomarkers/health states, and 2) large-language model-driven harmonization technology to integrate and standardize datasets across research groups/experimenters/modalities. We have experience working with various government agencies (i.e. DARPA, NCI, NIAAA, DTRA, etc). We have recent/current work in area (1) with DARPA, and in area (2) with NCI and DTRA. | We are looking for strong sensor development and hardware (monitor) development collaborators for TA2. Additionally, we are searching for strong teaming partners on the TA1 side including clinical partners and hardware or sensor developers to collect biomarker data. | Collaborator, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Kathryn Zealand | Project Stardust | kathryn.zealand@gmail.com | San Francisco, CA | Commercialisation of non-invasive monitoring for fetal status in final trimester, including wearable ultrasound | Clinical and development partners | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, Collaborator |
| Roger Narayan | North Carolina State University | roger_narayan@ncsu.edu | Raleigh, NC | My focus is on the development of microneedle devices for electrochemical detection of a variety of biologically relevant molecules as well as the use of artificial intelligence to enhance the usability of biosensor data. | I am looking for teaming partners with complementary expertise to address the project requirements, including handling of sensor data in accordance with project requirements. | TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |
| Mrignayani Kotecha | O2M Technologies, LLC | mkotecha@oxygenimaging.com | Chicago, IL | Development of oxygen imaging technologies for diagnosis and treatment of various pathologies. | Subject expertise in obstetrics care, fetus development, etc. | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, Collaborator |
| Salim Malakouti | NOMA AI INC. | salim@noma.ai | Pittsburgh, PA | Developing multimodal AI for proactive monitoring of risk of medical complications | Collaborators with complimentary expertise and technology | TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia, Collaborator |
| Robert Rohling | University of British Columbia | rohling@ece.ubc.ca | Vancouver, Canada | Our current focus is ultrasound of the placenta. My lab at UBC (Robert Rohling) has worked with UNCC (Farah Deeba) to develop a novel quantitative ultrasound tool to detect the risk of hypoxia by analyzing the placenta. This novel tool was developed under the Wellcome Leap In Utero program with n=246 subjects in Vancouver, Canada and n=1463 at sites in USA, UK, Uganda. The study was completed in 2025 and we are now drafting the journal publication. The results are very promising. | We are looking for more clinical partners to perform studies. We are also looking for experts in Doppler and perfusion ultrasound to bring complementary measures of placental function. | TA1: Development of a Point of Care Test for Stratification by Risk for Intrapartum Fetal Hypoxia, TA2: Development of a Novel Intrapartum Fetal Monitor for Objective Assessment of the Fetus with Suggested Next Best Step for Treatment of Hypoxia |