Luis

Luís Vale Silva

Postdoctoral Researcher

Heidelberg University

Heidelberg, Germany

Personal email address

+49 (0) 177 685 40 14


Skills

  • Genomic Data Science
  • Bash scripting, Python, R, SQL
  • Molecular Biology and NGS
  • Scientific writing
  • Machine Learning
  • Deep Learning

Languages

EnglishFull professional proficiency

ILR 4

FrenchProfessional working proficiency

ILR 3

SpanishLimited working proficiency

ILR 2

CzechElementary proficiency

ILR 1

PortugueseNative or bilingual proficiency

ILR 5


Work Experience

Postdoctoral Researcher | Heidelberg University, Germany
April 2018 - Current

Biomedical Computer Vision Group, PD Dr Karl Rohr

Deep Learning for Cancer Imaging Genomics.


Postdoctoral Associate | New York University, US
May 2015 - March 2018

Hochwagen Lab, Prof. Andreas Hochwagen, PhD

NGS data and Computational Biology methods to study meiosis. Design and implement data analysis pipelines in the Hochwagen lab. Design and maintain lab servers and website.


Postdoctoral Researcher | University of Lausanne, Switzerland
Nov 2010 - May 2015

Sanglard Lab, Prof. Dominique Sanglard, PhD

In vitro, ex vivo and in vivo infection models, NGS data and Computational Biology methods to study drug resistance and host-pathogenic yeast interaction.


Postdoctoral Researcher | University of Porto, Portugal
Feb 2007 - Nov 2010

Microbiology Lab, Prof. Eugénia Pinto, PhD

In vitro drug efficacy and toxicity models to discover and develop antifungal drugs from natural and synthetic sources.


Staff Pharmacist | Porto, Portugal
Aug 2006 - Feb 2007

Serpa Pinto Community Pharmacy

Education

Charles University, Czech Republic
2006 - 2006

PhD, PharmD (Prof. Vladimír Buchta, PhD)


University of Porto, Portugal
2010 - 2013

BSc and MSc in Pharmaceutical Sciences


Technical Skills

Next-generation sequencing (NGS):
  • Analysis pipelines for Illumina, Pacific Biosciences’ SMRT, and Oxford Nanopore seq.
Software and Programming Languages:
  • Python (Biopython, numpy, scipy, pandas, scikit-learn, tensorflow)
  • R (tidyverse, Bioconductor, caret)
  • SQL
  • Linux (shell scripting, High-performance cluster computing)
Wet-lab Biology:
  • Molecular cloning and CRISPR-Cas9 genome editing
  • PCR and qPCR
  • DNA microarrays
  • Southern, western and northern blotting
  • FACS
  • Immunofluorescence
  • In vitro, ex vivo, and in vivo models of infection and drug efficacy / toxicity
Machine Learning:
  • Supervised and unsupervised learning (classification, regression, clustering)
  • Feature engineering
  • Model evaluation
  • Deep learning
Research project management:
  • International and interdisciplinary research project design and leadership
Research communication:
  • Extensive list of peer-reviewed papers and a book chapter
  • Presentation of scientific research results at internal and international scientific meetings
Team management:
  • Design, supervision, and teaching undergraduate and graduate-level classes and research projects

Hobbies

Hiking: reached summits of Kilimanjaro and Mauna Kea.

Running, cycling and playing sports, including soccer, badminton and squash.

Amateur musician (bass guitar).