Pedro Herrero Vidal, Ph.D. work email
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Pedro Herrero Vidal, Ph.D. personal email
I am Ph.D. qualified Applied Scientist at Amazon, working at the cutting-edge of Machine Learning and Artificial Intelligence promoting technical innovation and discovery.With a strong foundation in neuro-inspired AI algorithms, I have a proven track record in developing cutting-edge solutions to extract valuable insights from complex datasets. My previous work spans diverse domains including text analysis, image processing, genomic research, and neural activity studies. I have successfully implemented algorithms for entity resolution, region of interest parsing, neural feature classification, identification of markers for neurological diseases, and odor identity and intensity detection.
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Applied Scientist, Machine LearningAmazon Jul 2023 - PresentSeattle, Wa, UsDeveloping and engineering cutting-edge ML and AI models to improve Amazon customers' experience. -
Computational Neuroscience Ph.D. ResearcherNew York University Sep 2017 - Jul 2023New York, Ny, UsI engineered and developed Machine Learning methods in efforts to develop a chemical detector based on a Brain-Machine Interface, in the labs of Dr. Savin and Dr. Rinberg. I extracted neuronal activity signals from the early olfactory system of the mouse, and processed such recordings to build a robust and versatile stimuli decoder. -
Teaching AssistantNew York University Sep 2018 - Dec 2018New York, Ny, UsTeaching assistant for Brain and Behavior core course instructed by Dr. André Fenton. The course aims to introduce the biophysical processes that the brain undergoes in order to create behavior. My duties include teaching lab sessions, explaining the lecture materials and grading the labs and exams.
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Applied Scientist Intern, Machine LearningAmazon Jun 2022 - Sep 2022Seattle, Wa, Us
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Deep Learning Graduate Level Course GraderNyu Center For Data Science Jan 2020 - May 2020New York, Ny, UsGrader for Yann LeCun's and Alfredo Canziani's Deep Learning graduate course. The course covers the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets. My contributions include grading theory and programming (Python/PyTorch) assignments and exams, define grading criteria, and answering students' questions and explaining the course material.https://atcold.github.io/pytorch-Deep-Learning/ -
Graduate Research AssistantNyu Center For Neural Science Aug 2015 - Dec 2017Alongside Dr. Shrestha at Prof. Klann's lab, I participated in a project that explores the role of protein synthesis in memory processes. For this project, I built an analysis pipeline using Generalized Linear Models in Unix and R in order to identify differentially expressed genes in different neural populations of the amygdala. Additionally, I used a combination of behavioral studies, viral injections, and cellular and biochemical techniques in a genetically modified mouse model.
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Research TechnicianPharmactive Biotech Products, Sl. Jun 2017 - Aug 2017Alcobendas, Madrid, EsAs a member of the R&D team at Pharmactive Biotech Company, I contributed my abilities to the purification, extraction and modification of bioactive plant compounds that could be used to treat and improve human quality of life. During my stay, I assisted with the chemical analysis of these botanical extracts, for which I implemented spectrophotometric and liquid chromatography (HPLC) techniques. In addition to the wet-lab procedures, I also worked on scientific documentation, experimental design and the development of new methods of analysis. -
Research AssistantInstituto Cajal, Csic Oct 2014 - Jul 2015Madrid, Madrid, EsDuring my stay at Dr. Menendez de la Prida’s Neural Circuits Lab at the Cajal Institute, I worked in a research project that sought to develop an animal model for the study of theta waves in both septum and hippocampus during epilepsy. For which, we used stereotaxic viral injections for pharmacogenetic neural modulation in combination with immunohistochemistry and electrophysiological techniques. Additionally, I wrote a developed a model to automatically extract features and analyze immunoflouroscence images. -
Research AssistantCentro De Biologia Molecular Severo Ochoa Feb 2012 - Jul 2014For two and a half years, I worked at Dr. Cubelos' neurobiology lab at the Center for Molecular Biology 'Severo Ocha' (Spain). Where, I learned and applied a wide set of molecular, genetical, cellular and histological techniques as well as I obtained a better understanding of statistical data analysis (using SPSS and Microsoft Excel) and image processing and analyzing (through ImageJ, Adobe Photoshop and Adobe Illustrator).
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Research OfficerGenome Institute Of Singapore Jun 2013 - Aug 2013Singapore, SgThanks to the SIPGA A*STAR award, I gained a new perspective of biological research participating in large-scale genome analysis alongside Dr. Liu’s group at the Genome Institute of Singapore. Specifically, I assisted a project studying autoimmune diseases in humans by performing HLA long-PCR amplification and other NGS techniques. This allowed me to refine both my wet-lab and dry-lab skills; as I also leveraged large databases of genomic sequential data for computational and statistical analysis.
Pedro Herrero Vidal, Ph.D. Skills
Pedro Herrero Vidal, Ph.D. Education Details
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New York UniversityNeuroscience -
New York UniversityBioinformatics And Systems Biology
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Universidad Autónoma De MadridCondensed Matter Physics And Biological Systems
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Universidad Autónoma De MadridBiochemistry
Frequently Asked Questions about Pedro Herrero Vidal, Ph.D.
What company does Pedro Herrero Vidal, Ph.D. work for?
Pedro Herrero Vidal, Ph.D. works for Amazon
What is Pedro Herrero Vidal, Ph.D.'s role at the current company?
Pedro Herrero Vidal, Ph.D.'s current role is Applied Scientist II @ Amazon.
What is Pedro Herrero Vidal, Ph.D.'s email address?
Pedro Herrero Vidal, Ph.D.'s email address is pe****@****nyu.edu
What schools did Pedro Herrero Vidal, Ph.D. attend?
Pedro Herrero Vidal, Ph.D. attended New York University, New York University, Universidad Autónoma De Madrid, Universidad Autónoma De Madrid.
What are some of Pedro Herrero Vidal, Ph.D.'s interests?
Pedro Herrero Vidal, Ph.D. has interest in Psychology, Civil Rights And Social Action, Traveling, Education, Dancing, Photography, Science And Technology, Sports, Cult Films, Music.
What skills is Pedro Herrero Vidal, Ph.D. known for?
Pedro Herrero Vidal, Ph.D. has skills like Neuroscience, Matlab, Cell Biology, Genetics, Western Blotting, Molecular Biology, Fluorescence Microscopy, Confocal Microscopy, Laboratory, Bioinformatics, Spss, Microsoft Office.
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