Summary
Amanda Lemette is an adjunct professor at PUC-Rio with nine years of experience bridging chemical engineering and data science through teaching, research, and program coordination. She leads modeling, simulation, and optimization research as coordinator of LaMAC and teaches graduate and extension courses ranging from process simulation to Python for scientific research and AI applications. Amanda coordinates an international COIL exchange with a German university and has a track record of outreach, delivering Python and ML training to public high school students in Rio. A FAPERJ Young Scientist scholar, she also secures funding and develops departmental infrastructure, blending academic rigor with practical project leadership. Passionate about programming and pedagogy, she focuses on empowering students and collaborators to apply data-driven methods to real-world chemical engineering problems.
9 years of coding experience
Doutorado em Engenharia Química, Doutorado em Engenharia Química at Universidade Federal do Rio de Janeiro