Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an AI researcher specializing in computer vision and face biometrics, currently pursuing a PhD in Computer Science and Telecommunications at the Autonomous University of Madrid. I hold an MSc in Artificial Intelligence from the Technical University of Madrid and a BSc in Computer Science from the Public University of Navarre, with hands-on experience in building robust AI systems for real-world conditions. My work at Veridas focuses on facial recognition under occlusions and masks, as well as the security and fairness of biometric systems. I have developed metrics to measure demographic bias in facial biometrics, created attack-detection tech for Deep Fakes, and contributed to explainability in vision models. I have presented research at international venues, filed a patent related to authenticating a person, and have experience in teaching programming fundamentals. I’m fluent in Spanish, Basque, English, and am improving my French, with a track record of collaborating across research and industry to deliver responsible AI solutions.…I am an AI researcher specializing in computer vision and face biometrics, currently pursuing a PhD in Computer Science and Telecommunications at the Autonomous University of Madrid. I hold an MSc in Artificial Intelligence from the Technical University of Madrid and a BSc in Computer Science from the Public University of Navarre, with hands-on experience in building robust AI systems for real-world conditions. My work at Veridas focuses on facial recognition under occlusions and masks, as well as the security and fairness of biometric systems. I have developed metrics to measure demographic bias in facial biometrics, created attack-detection tech for Deep Fakes, and contributed to explainability in vision models. I have presented research at international venues, filed a patent related to authenticating a person, and have experience in teaching programming fundamentals. I’m fluent in Spanish, Basque, English, and am improving my French, with a track record of collaborating across research and industry to deliver responsible AI solutions.

Imanol Solano-Martinez

Data Scientist, AI Engineer, Developer, +1





I am an AI researcher specializing in computer vision and face biometrics, currently pursuing a PhD in Computer Science and Telecommunications at the Autonomous University of Madrid. I hold an MSc in Artificial Intelligence from the Technical University of Madrid and a BSc in Computer Science from the Public University of Navarre, with hands-on experience in building robust AI systems for real-world conditions. My work at Veridas focuses on facial recognition under occlusions and masks, as well as the security and fairness of biometric systems. I have developed metrics to measure demographic bias in facial biometrics, created attack-detection tech for Deep Fakes, and contributed to explainability in vision models. I have presented research at international venues, filed a patent related to authenticating a person, and have experience in teaching programming fundamentals. I’m fluent in Spanish, Basque, English, and am improving my French, with a track record of collaborating across research and industry to deliver responsible AI solutions.…I am an AI researcher specializing in computer vision and face biometrics, currently pursuing a PhD in Computer Science and Telecommunications at the Autonomous University of Madrid. I hold an MSc in Artificial Intelligence from the Technical University of Madrid and a BSc in Computer Science from the Public University of Navarre, with hands-on experience in building robust AI systems for real-world conditions. My work at Veridas focuses on facial recognition under occlusions and masks, as well as the security and fairness of biometric systems. I have developed metrics to measure demographic bias in facial biometrics, created attack-detection tech for Deep Fakes, and contributed to explainability in vision models. I have presented research at international venues, filed a patent related to authenticating a person, and have experience in teaching programming fundamentals. I’m fluent in Spanish, Basque, English, and am improving my French, with a track record of collaborating across research and industry to deliver responsible AI solutions.

Available to hire

I am an AI researcher specializing in computer vision and face biometrics, currently pursuing a PhD in Computer Science and Telecommunications at the Autonomous University of Madrid. I hold an MSc in Artificial Intelligence from the Technical University of Madrid and a BSc in Computer Science from the Public University of Navarre, with hands-on experience in building robust AI systems for real-world conditions. My work at Veridas focuses on facial recognition under occlusions and masks, as well as the security and fairness of biometric systems.

I have developed metrics to measure demographic bias in facial biometrics, created attack-detection tech for Deep Fakes, and contributed to explainability in vision models. I have presented research at international venues, filed a patent related to authenticating a person, and have experience in teaching programming fundamentals. I’m fluent in Spanish, Basque, English, and am improving my French, with a track record of collaborating across research and industry to deliver responsible AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

AI Collection (Audio)

Intermediate

AI Collection (Video)

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

Basque

Fluent

English

Fluent

French

Intermediate

Work Experience

AI Research Scientist at Veridas

March 1, 2021 - September 1, 2025

Developed facial recognition systems resilient to occlusions and face masks; designed general-purpose metrics to evaluate demographic bias across diverse facial biometric systems (presented at the 2024 International Conference on Pattern Recognition); created attack-detection technology for injection attacks and DeepFakes; built face recognition preprocessing to improve robustness against mask-induced occlusions (patent registered as 'AUTHENTICATING A PERSON' (WO2023241817A1)); developed explainability techniques for DeepFake detection by analyzing CNN representation spaces to identify video conditions affecting performance.

Teaching Assistant at Public University of Navarra

September 1, 2020 - July 1, 2021

Associate Professor responsible for teaching core programming fundamentals to engineering students across multiple degree programs, helping them build computational thinking skills and a solid foundation in software development.

AI Research Intern at Veridas

June 1, 2020 - March 1, 2021

Implemented and deployed metrics to measure face image quality (blurriness, black & white images); developed a Python-based program to manage the database generation process—from sample acquisition and storage to metadata generation and release for internal experimentation.