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Total reviews: 1
Level: Guru
Member Since: 25/11/2018

Profile Information

First name Gianvito
Last name Urgese
I have professional experience in:

Bioinformatics, Cancer therapeutics, Clinical trials, Digital Health, Medical Device, Neurosciences, doctor networks, hospital hardware, medical big data and analytics, predictive analytics, diagnostic devices

Help us confirm that you're an expert

Gianvito Urgese is Postdoctoral Research Fellow at the Dept. of Control and Computer Engineering of Politecnico di Torino. He received his M.Sc. degree (summa cum laude) in Electrical Engineering at Politecnico di Torino.
His research interests focus on: (i) Research and design of optimised task-specific bioinformatics algorithms. (ii) Development of tools for the study of non-coding biological sequences (miRNA, siRNA and lncRNA). (iii) Design of heterogeneous SW/HW architectures to accelerate bioinformatics algorithms, including parallel implementation on FPGA and GPU. (iv) Design of partitioning and placement algorithms for the mapping of Spiking Neural Networks in the SpiNNaker neuromorphic platform.

LinkedIn

http://www.linkedin.com/in/gianvito-urgese-5bb2668a

How did you hear about us?

Direct contact on Linkedin by James Prickett

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Name

Gianvito Urgese

I have professional experience in:

Bioinformatics, Cancer therapeutics, Clinical trials, Digital Health, Medical Device, Neurosciences, doctor networks, hospital hardware, medical big data and analytics, predictive analytics, diagnostic devices

Help us confirm that you're an expert

Gianvito Urgese is Postdoctoral Research Fellow at the Dept. of Control and Computer Engineering of Politecnico di Torino. He received his M.Sc. degree (summa cum laude) in Electrical Engineering at Politecnico di Torino.
His research interests focus on: (i) Research and design of optimised task-specific bioinformatics algorithms. (ii) Development of tools for the study of non-coding biological sequences (miRNA, siRNA and lncRNA). (iii) Design of heterogeneous SW/HW architectures to accelerate bioinformatics algorithms, including parallel implementation on FPGA and GPU. (iv) Design of partitioning and placement algorithms for the mapping of Spiking Neural Networks in the SpiNNaker neuromorphic platform.

LinkedIn

http://www.linkedin.com/in/gianvito-urgese-5bb2668a

How did you hear about us?

Direct contact on Linkedin by James Prickett