Ria Vinod Email & Phone Number
@ibm.com
LinkedIn matched
Who is Ria Vinod? Overview
A concise factual answer block for searchers comparing this professional profile.
Ria Vinod is listed as Comp Bio PhD Student at Google DeepMind, based in United States, United States, United States. AeroLeads shows a work email signal at ibm.com and a matched LinkedIn profile for Ria Vinod.
Ria Vinod previously worked as Student Researcher at Google Deepmind and Machine Learning Intern at Prescient Design. Ria Vinod holds Bachelor Of Science - Bs, Electrical Engineering And Computer Science from University Of California, Berkeley.
Email format at Google DeepMind
This section adds company-level context without repeating Ria Vinod's masked contact details.
AeroLeads found 1 current-domain work email signal for Ria Vinod. Compare company email patterns before reaching out.
About Ria Vinod
I'm currently a 4th Year PhD student at Brown University, advised by Lorin Crawford, and a Student Researcher at Google Deepmind on the protein function team. I work on biologically and physically inspired models, with a focus on learning meaningful + data-efficient representations for protein-knowledge problems. Always eager to chat if any of these objectives seem interesting to you! See more: https://www.riavinod.com
Listed skills include Algorithms, Machine Learning, Python, Sql, and 11 others.
Ria Vinod's current company
Company context helps verify the profile and gives searchers a useful next step.
Ria Vinod work experience
A career timeline built from the work history available for this profile.
Machine Learning Intern
Developing principled score matching methods for biological manifolds, applied to protein sequence design.
Student Researcher
Developing data-efficient representation learning methods by reprogramming large language models for biomedically relevant downstream structure and function protein prediction tasks.
Vp Of External Affairs
Ran the external division of student organization, Machine Learning @ Berkeley. Hosted the annual ML/Data Science specific career fair (500+ students), sourced ML consulting projects with industry partners, organized tech talks with industry leaders and hosted educational workshops for the UC Berkeley community.
Undergraduate Research Assistant
Developing deep learning models using CNNs to segment brain tumors, using multimodal MRI scans + radiomic features.
Software Engineering Intern
Develop ARIMA forecasting models for capacity management, and multidimensional bin packing algorithms for optimized hardware resource utilization
Software Engineering Intern
Designed and developed the backend of a transcription normalization NLP microservice.
Ria Vinod education
Bachelor Of Science - Bs, Electrical Engineering And Computer Science
Doctor Of Philosophy - Phd, Computer Science
Frequently asked questions about Ria Vinod
Quick answers generated from the profile data available on this page.
What company does Ria Vinod work for?
Ria Vinod works for Google DeepMind.
What is Ria Vinod's role at Google DeepMind?
Ria Vinod is listed as Comp Bio PhD Student at Google DeepMind.
What is Ria Vinod's email address?
AeroLeads has found 1 work email signal at @ibm.com for Ria Vinod at Google DeepMind.
Where is Ria Vinod based?
Ria Vinod is based in United States, United States, United States while working with Google DeepMind.
What companies has Ria Vinod worked for?
Ria Vinod has worked for Google Deepmind, Prescient Design, Ibm, Machine Learning At Berkeley, and Berkeley Institute Of Data Science, Uc Berkeley.
How can I contact Ria Vinod?
You can use AeroLeads to view verified contact signals for Ria Vinod at Google DeepMind, including work email, phone, and LinkedIn data when available.
What schools did Ria Vinod attend?
Ria Vinod holds Bachelor Of Science - Bs, Electrical Engineering And Computer Science from University Of California, Berkeley.
What skills is Ria Vinod known for?
Ria Vinod is listed with skills including Algorithms, Machine Learning, Python, Sql, Java, Algorithm Design, Linear Algebra, and Computer Vision.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial