Summary
Juan Colonna is a computer scientist and adjunct professor with 11 years of experience bridging machine learning, signal processing and ecological informatics to address environmental monitoring challenges in the Amazon. He holds a PhD and MSc from UFAM and a Telecommunications Engineering degree from Argentina, and completed a doctoral internship in AI at INESCTEC (University of Porto). At UFAM he has combined research, teaching and program leadership—including coordinating the graduate Informatics program—and has also worked in industry R&D at SIDIA on applied AI. Now a postdoctoral researcher at Victoria University of Wellington, he focuses on statistical learning and scientific computing, bringing field-focused domain expertise to algorithm development. Colonna’s profile reflects a rare mix of hands-on engineering, academic leadership and regionally grounded applied research that informs scalable ML for ecological problems.
11 years of coding experience
1 year of employment as a software developer
Ingeniero en Telecomunicaciones, Ingeniería, Ingeniero en Telecomunicaciones, Ingeniería at Universidad Nacional de Río Cuarto
Ph.D. in Computer Science, Signal Processing, Machine Learning, Data Science, Ph.D. in Computer Science, Signal Processing, Machine Learning, Data Science at Universidade Federal do Amazonas
Bachiller en Mantenimiento Industrial, Mantenimiento, Bachiller en Mantenimiento Industrial, Mantenimiento at IPEM 259 (Industrial)
Msc in Computer Science, Wireless Sensor Networks, Machine Learning, Applied Maths, Msc in Computer Science, Wireless Sensor Networks, Machine Learning, Applied Maths at Federal University of Amazonas (UFAM)
Spanish, English, Portuguese