Lucas R. Schwengber

PhD Student, Albany, CA

CV

About Me

Hello there! I am currently a first year PhD student in the statistics department at UC Berkeley.


Before coming to Berkeley I was a master's student in Applied Mathematics at IMPA where I was fortunate to be advised by Roberto I. Oliveira.


In the recent past I have worked on the theory behind particle tracking and on devising practical methods to learn similarity preserving hash functions using deep learning.

Research projects

Geometric planted matchings beyond the Gaussian model

Deep Hashing via Householder Quantization

Work experience

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Petrobras

Consultant - -

Consulting project via Centro Pi for Petrobras

  • Investigated the use of physics-informed neural networks to solve seismic inversion problems.
python bash pytorch tensorboard PINNs git
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Rede Globo

Consultant - -

Consulting project via Centro Pi for Rede Globo.

  • Worked with media metadata, recommendation systems and natural language processing.
sklearn python bash nltk git

Education / Training

IMPA

M.S. in Applied Mathematics - -

UFRGS

B.S. in Applied Mathematics - -

  • Graduated with honours.

Contact