The AIMM Project Team

About US

The AIMM Project Team

About Us

The AIMM Project Team

About US

[01]

Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[01]
Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[01]

Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[02]
Our Team
Ravi Bhavnani
Project Lead

Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager

Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer

FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director

FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist

FLAME University | Lavale, India

Ravi Bhavnani
Project Lead

Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager

Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer

FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director

FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist

FLAME University | Lavale, India

[02]
Our Team
[02]
Our Team
COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

Our Vision

Our Vision

Our Vision

The AIMM Project Team

About US

The AIMM Project Team

About Us

The AIMM Project Team

About US

[01]

Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[01]
Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[01]

Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[02]
Our Team
Ravi Bhavnani
Project Lead

Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager

Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer

FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director

FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist

FLAME University | Lavale, India

Ravi Bhavnani
Project Lead

Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager

Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer

FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director

FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist

FLAME University | Lavale, India

[02]
Our Team
[02]
Our Team
COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

Our Vision

Our Vision

Our Vision

The AIMM Project Team

About US

The AIMM Project Team

About Us

The AIMM Project Team

About US

[01]

Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[01]
Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[01]

Our DNA is human-centered, data-driven, and built for scale.

From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.

[02]
Our Team
Ravi Bhavnani
Project Lead

Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager

Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer

FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director

FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist

FLAME University | Lavale, India

Ravi Bhavnani
Project Lead

Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager

Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer

FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director

FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist

FLAME University | Lavale, India

[02]
Our Team
[02]
Our Team
COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

COMPETENCIES
[03]
BHAVNANI
Award-winning computational social scientist and Chair of International Relations and Political Science at the Geneva Graduate Institute. His research has helped pioneer the use of AI, simulation, and complex systems approaches to understand violence, social behavior, and humanitarian crises.

Gopalan
Former ISRO scientist and Director of FLAME University's Centre for Interdisciplinary Artificial Intelligence. He has contributed to major Indian and international satellite missions and brings deep expertise in AI, geospatial analytics, and large-scale data systems.

Rajpal
Health economist and public-health data scientist affiliated with Harvard University's Geographic Insights Lab and Korea University's Precision Public Health Centre. His work combines economics, geospatial analytics, and population health to improve nutrition and development outcomes.

Link
Postdoctoral researcher at the Geneva Graduate Institute specialising in computational methods and household-level analysis. Her work combines innovative smartphone surveys with granular geospatial and contextual data to understand nutrition, vulnerability, and resilience in times of crisis.

Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.

Our Vision

Our Vision

Our Vision