ENGAGE Spotlight: Cynthia Kilango

Finding purpose in an era of AI: Cynthia Kilango's story

Cynthia Kilango is on a transformative journey she never expected. She is currently in Kotka, Finland, pursuing a social sciences program at the South-Eastern Finland University of Applied Sciences (XAMK). A few months ago, she was presenting research at major conferences in Nairobi. Before that, she was a public health graduate with a deep curiosity about data science and artificial intelligence, and no clear path forward.

Kilango had tried various online courses, but none compared to the impact of the ENGAGE Project (Enabling Girls in AI and Growing Expertise), a training program run in partnership between UCSF and the University of Nairobi. As she puts it: "Before ENGAGE, I never knew what exactly it was I wanted to pursue. Now I do."

The training gave her both the skills and the exposure she needed. After completing the program, Kilango interned at a community health facility, where she witnessed firsthand the financial and emotional burden many young mothers face when seeking treatment. She began exploring how predictive models could support earlier intervention and better health outcomes for women, particularly those from low-income households. The result: a machine learning model designed to help screen for anemia in pregnant women.

Her work caught the attention of organizers at the KEMRI Annual Scientific and Health Conference, where she presented her abstract before a room of researchers and subject matter experts. Doors began to open to networks and possibilities she had never imagined.

Kilango knows what those opportunities can mean. She comes from a humble background, and her parents struggled to keep her in school. A scholarship carried her education from secondary school through university. "I would probably be married somewhere with 10 children," she recalls. "The scholarship brought consistency in school. It helped me perform better."

Now, in Finland, Kilango is learning how to design sustainable solutions. Her hope is to use research, data science, and AI to solve problems at the community level, her newfound mission.

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The ENGAGE Project is a collaborative training program led by the University of Nairobi in partnership with UCSF and six other Kenyan universities. Together, they work to empower young women to use AI and data science to improve health outcomes at the community level.

Caring for Providers to Improve Patient Experience (CPIPE) Intervention

Patience Afulani, PhD (image source UCSF)

Global Programs Kenya led research to address maternal health disparities in low- and middle-income countries, where 800 pregnancy-related deaths occur daily. In sub-Saharan Africa, many women, particularly from low socioeconomic backgrounds, do not deliver in health facilities, leading to poor outcomes. To address this, the "Caring for Providers to Improve Patient Experience" (CPIPE) intervention was developed (PI: Dr. Patience Afulani, UCSF OBGYN). CPIPE focuses on provider training, peer support, mentorship, embedded champions, leadership engagement, and promoting equitable and respectful care to tackle key drivers of poor person-centered maternal care, such as stress, burnout, and bias.

In July, Advances in Global Health published "Implementation of the Caring for Providers to Improve Patient Experience Intervention in Migori County, Kenya: Challenges, Successes, and Lessons." Authors include Beryl Ogolla (Global Programs Kenya), Linnet Ongeri (KEMRI), Edwina Oboke (Global Programs Kenya), Monica Getahun (UCSF IGHS), Joyceline Kinyua (KEMRI), Iscar Oluoch (Migori County Government, Kenya), James Oduor (Migori County Referral Hospital, Kenya), and Patience Afulani (UCSF IGHS).

ENGAGE Kenya Update

ENGAGE Kenya via LinkedIn

The ENGAGE Project (PI: Fitti Weissglas, IGHS) recently celebrated the graduation of 90 young women who completed intensive training in data science across six Kenyan universities, including Meru University of Science and Technology.

This initiative, part of a larger effort funded by Takeda Pharmaceuticals and led by the University of Nairobi (in partnership with UCSF), aims to empower young women from underserved backgrounds by equipping them with essential data science skills to address public health challenges. The graduates’ success highlights the project's commitment to fostering women in STEM and creating impactful solutions for communities in Kenya.