Alek Fröhlich

HC University Hospital, 8th floor.

Bandeirantes Ave, 3900, Universitary Campus.

Ribeirao Preto, Sao Paulo, Brazil.

I am a M.Sc. student at UFSC, where I currently study Machine Learning towards a masters degree in Mathematics. I am also a member of the Laboratory for Translational Data Science at the Hospital das Clinicas University Hospital (USP), where I help explore the vast amount of predictive information contained in H&E slides with the goal of improving our understanding of Breast Cancer.

selected publications

2023

Computational pathology pipeline enables quantification of intratumor heterogeneity and tumor-infiltrating lymphocyte score

Daniel Tiezzi, Alek Fröhlich, Stefano Pagnotta, and 1 more author

Dec 2023

Bib HTML PDF

@conference{Alek2023,
  title = {Computational pathology pipeline enables quantification of intratumor heterogeneity and tumor-infiltrating lymphocyte score},
  author = {Tiezzi, Daniel and Fröhlich, Alek and Pagnotta, Stefano and Chahud, Fernando},
  booktitle = {ESMO Immuno-Oncology Congress 2023},
  organization = {ESMO},
  year = {2023},
  month = dec,
}

Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features

Isabela Carlotti Buzatto, Sarah Abud Recife, Licerio Miguel, and 7 more authors

Dec 2023

Bib HTML PDF

@misc{Buzatto2023,
  doi = {10.21203/rs.3.rs-3390199/v1},
  url = {https://doi.org/10.21203/rs.3.rs-3390199/v1},
  year = {2023},
  publisher = {Research Square Platform {LLC}},
  author = {Buzatto, Isabela Carlotti and Recife, Sarah Abud and Miguel, Licerio and Onari, Nilton and Faim, Ana Luiza Peloso and Bonini, Ruth Morais and Silvestre, Liliane and Carlotti, Danilo Panzeri and Fr\"{o}hlich, Alek and Tiezzi, Daniel Guimar{\~{a}}es},
  title = {Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features},
}

2022

Foundations of machine learning: functional analysis with an eye to kernel methods

Bachelor Thesis

Mar 2022

Bib HTML PDF

@masterthesis{Alek2022,
  year = {2022},
  month = mar,
  type = {Bachelor Thesis},
  author = {Thesis, Bachelor},
  title = {Foundations of machine learning: functional analysis with an eye to kernel methods},
}