A research community where women lead and contribute to impactful AI and language technology research for low-resource languages.
Enable women and emerging researchers to conduct meaningful AI research within real-world resource constraints.
A research community where women lead AI research and innovation, and where limited resources do not limit their ability to create meaningful impact.
AI research increasingly requires data, computing, funding, tools, and expertise that are not equally accessible.
MMDT-RISE is a research-focused branch of MMDT, established in 2025 to strengthen and expand MMDT’s research activities. It provides a dedicated platform for advancing AI research, building practical solutions, developing research capacity, and creating opportunities for women to contribute to and lead research.
Learn the skills. Research the problems. Build the solutions. Lead the change.
Build foundational skills in AI, research methods, and responsible research through workshops, training, and mentorship.
Turn research into working AI tools, prototypes, and deployed applications.
Apply those skills to real AI research problems, particularly those shaped by limited data, compute, and resources.
Publish and present research, share knowledge, mentor others, and lead future AI research initiatives.
The dedicated researchers, developers, and project coordinators driving MMDT-RISE.
Project Coordinator
A Business Analyst with a background in the fintech industry, specializing in mobile banking and mobile wallet solutions. She holds a Bachelor's degree in Computer Science from the University of Computer Studies, Yangon (UCSY), and volunteers year-round with the Women in AI Myanmar community.
Media Outreach
Currently working as a data analyst, she brings a diverse range of professional experience to the team, spanning content creation, project management, and conflict research and analysis, giving her strategic insight to connect audiences with MMDT-RISE's mission.
AI Researcher
Passionate about leveraging artificial intelligence and machine learning to build practical, inclusive solutions for real-world and community-driven challenges. Her research spans Natural Language Processing, Computer Vision, and low-resource language technologies, with a focus on advancing AI for the Myanmar language.
Researcher
A Researcher with over seven years of experience across digital agriculture, eHealth, and telecommunications. His research explores the practical use of AI to address real-world needs, with interests in computer vision, deep learning, edge AI, precision agriculture, and AI for low-resource languages.
Senior advisors and specialists providing technical guidance, deployment strategy, and community outreach.
Advisor
Originally from Myanmar and now based abroad, Dr. Myo Thida works as a university professor and brings professional working experience and a research background connected to Myanmar. Rather than leading the project, she serves as an academic advisor, providing research mentorship, technical guidance, and publication support, while research decisions and implementation remain with the Southeast Asia-based team.
Dev & Deployment Advisor
Works in the software industry, with experience across leading Japanese technology firms, while supporting grassroots digital and education initiatives for Myanmar. A committed tech community builder, she advises on technical architecture, data security, product delivery, and technical mentoring — helping the team build skills and systems that last.
Communication & Outreach
Brings deep expertise in academic social research focused on Myanmar and extensive experience working across multicultural environments. She actively contributes to teacher professional development initiatives in Myanmar and is deeply passionate about social impact, youth empowerment, and community engagement.
Project Manager
Has spent more than five years working at the intersection of data, civic tech, and capacity building across Myanmar and Southeast Asia. He leads data training and research at Thibi and Myanmar Data Tech, helping partner organizations use data more effectively for decision-making and storytelling, and brings experience in grant proposals, donor reporting, and multi-stakeholder coordination.
