About

Hello! I am Antonio Fonseca. Engineer, Neuroscientist and Rock Climber.

I am a 3rd-year Neuroscience Ph.D. student at Yale. My work is at the intersection between Computational Neuroscience and Machine Learning. Currently, I am interested in using Deep Learning to model brain dynamics in mesoscopic calcium imaging data and what it can tells us about cognition and behavior. I am advised by David Van Dijk, Ph.D. and I work closely with Jess Cardin, Ph.D. Previously, I worked on software development for mining robots and solutions for banking companies. Most recently, I worked on applying machine learning and signal processing techniques to investigate behavior in developing animals in the laboratory of Marcelo Dietrich, Ph.D. I am also a mentor to Brazilian students through the Iniciativa Proxima program, where we seek to foster the next generation of scientists for the betterment of our communities and society.

Basic Information
Email:
antonio.fonseca@yale.edu
Phone:
+1203-691-0675
Address:
New Haven, Connecticut, U.S.A
Language:
Portuguese, English
Experience
Publications
  • Fonseca, A. H. de O.; Santana, G. M.; Ortiz, G. M. B.; Bampi, S.; Dietrich, M. O. Analysis of ultrasonic vocalizations from mice using computer vision and machine learning. Elife 10 (2021): e59161.
  • Fonseca, A. H. de O., and van Dijk, D. "Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy." arXiv preprint arXiv:2006.11578 (2020).
  • Zimmer, M. R.; Fonseca, A. H. de O.; Dai Pra, R.; Dietrich, M. O. Functional ontogeny of hypothalamic Agrp neurons in neonatal mouse behaviors." Cell 178.1 (2019): 44-59.
  • Fonseca, A. H. de O.; Ortiz, G. B.; Dietrich, M. O. Infant Vocalization in Mice Assessed by Machine Learning. Poster presented at the Neuroscience Track Reception Meeting 2018, Yale University – USA, 2018.
  • Fonseca, A. H. de O.; Zimmer, M. R; Dietrich, M. O. Fully automated tool for mice vocalization detection and classification. Poster presented at the Neuroscience Retreat 2017, Yale University – USA, 2017.
  • Fonseca, A. H. de O.; Zimmer, M. R; Dietrich, M. O. Fully automated tool for vocalization detection. Poster presented at the NeuroDay 2016, Yale University – USA, 2016.
  • Fonseca, A. H. de O.; Zana, Y. Automated visual insect tracking for statistical measurements. Poster Presented at the Third Brazilian Meeting on Brain and Cognition, Federal University of ABC, São Bernardo do Campo – SP, Brazil 2015. Article published in annals of event (complete).
  • Fonseca, A. H. de O.; Zana, Y. A New System for Automated Visual Tracking of Termites. Poster presented in the National Congress of Applied and Computational Mathematics, Natal – RN, Brazil. 2014.
  • Fonseca, A. H. de O.; Toledo, M. A.; Helena, A. F.; Zana, Y. Simultaneous tracking of dozens of objects. Oral presentation in the VIII Computational Vision Workshop, Goiânia – GO, Brazil. 2012. Article published in annals of the event (complete)
  • Fonseca, A. H. de O.; Zana, Y. Visual Automatic Quantification of Freezing Response in Rats: Development of a Graphical User Interface. First Brazilian Meeting on Brain and Cognition, 2010, Santo André – SP, Brazil. 2010.
Press Coverage

A new software for USV analysis (2021) at Nature

Teaching
Teaching Assistant
  • Department: Computer Science / Neuroscience - Yale University (2021)
  • Course: Advanced Computational Vision
  • Duties: Advising student presentations, grading and guiding discussions
Lecturer and Teaching Assistant
  • Department: Interdepartmental Neuroscience Program - Yale University (2021)
  • Course: Data Analysis Boot Camp
  • Duties: Advising student presentations, teaching basics of Matlab and Github.
Lecturer
Teaching Assistant
  • Department: Interdepartmental Neuroscience Program - Yale University (2020)
  • Course: Data Analysis Boot Camp
  • Duties: Advising student presentations, teaching basics of Matlab.
Lecturer
  • Organizer: Spatial Ecology - Basilicata University, Matera, Italy (2019)
  • Course: Geocomputation and Machine Learning for environmental applications
  • Duties: Grading final projects, teaching Neural Networks algorithms.
Education

2019 - current

Doctoral Degree
Ph.D. Neuroscience

Yale University – CT, USA

Awarded by the CAPES-Yale Graduate Scholars Program for the full extension of the PhD program.

2017 - 2019

Master's Degree
M.Sc. Microelectronics

Federal University of Rio Grande do Sul – RS, Brazil

Awarded a Master Sandwich Fellowship from CAPES for two years at Yale University to receive training in behavioral neurosciences (July 2017 – June 2019).

2009 - 2015

Bachelor's Degree
Bachelor of Automation, Instrumentation and Robotic Engineering

Federal University of ABC – SP, Brazil

Awarded a Science Without Borders Scholarship for one year and a half at Laurentian University (ON, Canada) to attend classes and gain experience in internship.

2009 - 2012

Bachelor's Degree
Bachelor of Science and Technology

Federal University of ABC – SP, Brazil

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Contact Me
Feel free to contact me

Address

New Haven, Connecticut, U.S.A

Phone

+1203-691-0675

Email

antonio.fonseca@yale.edu