Nino Calandra

Director, Sigma
Bromsgrove, England,United Kingdom
Find Nino Calandra's Email
Find Nino Calandra's Phone

Who Is Nino Calandra?

Total Experience0 years
CompanySigma
CountryUnited Kingdom

Nino Calandra is a distinguished Research Scientist at NVIDIA, focusing on Artificial Intelligence, particularly in the realms of Robotics, Reinforcement Learning, and Embodied AI. He has a strong academic background with a PhD from TU Darmstadt and postdoctoral research at UC Berkeley, where he made significant contributions to Bayesian optimization and robot learning. Before joining NVIDIA, Nino was a Research Scientist at Meta AI (FAIR), further advancing the frontiers of intelligent robotic systems. His work often involves developing algorithms that enable robots to learn complex tasks through interaction with their environment, bridging the gap between simulation and real-world application. He is passionate about creating autonomous systems that can perceive, reason, and act effectively in complex, unstructured environments.

How Did Nino Calandra's Career Path Shape Their Journey?

Nino Calandra's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Sigma - Director(Unknown to Present)

What Are Nino Calandra's Key Achievements?

Pioneering Research in Robot Learning and Bayesian Optimization

Authored and co-authored numerous influential publications in top-tier AI and Robotics conferences and journals (e.g., NeurIPS, ICRA, CoRL, JMLR), significantly advancing areas like sample-efficient reinforcement learning, sim-to-real transfer, and Bayesian optimization for robotics.

Development of Novel AI Models for Robotic Manipulation

Led and contributed to projects developing cutting-edge AI models that enable robots to perform complex manipulation tasks, such as dexterous in-hand manipulation and object rearrangement, often leveraging deep learning and reinforcement learning techniques.

Contributions to Open Source AI and Robotics Research

Contributed to the AI research community through open-sourcing code, datasets, and benchmarks, fostering collaboration and accelerating progress in the field of robotic learning.

Successful Sim-to-Real Transfer for Robotic Systems

Developed and demonstrated effective techniques for transferring policies learned in simulation to physical robots, addressing the reality gap and enabling practical application of learned behaviors.

PhD in Machine Learning for Robotics

Completed a PhD focusing on 'Bayesian Optimization for Policy Search in Robotics' from TU Darmstadt, providing foundational work for efficient learning in robotic systems.

What's Nino Calandra's Educational Background?

No education information available.

Buying Intent Signals for Nino Calandra

Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.

Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

Sigma
Total employees650
HeadquartersSan Francisco
Founded2014

Sigma Computing is a cloud-native analytics and business intelligence platform that enables users to explore live data directly in their cloud data warehouse using a familiar spreadsheet-like interface. It empowers business users and data teams alike to perform complex data analysis, create interactive dashboards, and share insights without writing SQL code, thereby accelerating data-driven decision-making across organizations.

Sigma Funding Information
$566.5M - Total Funding Raised
$200M - Most recent funding amount
5 - Number of funding rounds
Dec 6, 2023 - Latest funding round
Lead Investors:
Sutter Hill Ventures
Altimeter Capital
D1 Capital Partners
Spark Capital
Snowflake Ventures
XVC

Highperformr's free tools for company research

Find contact info

Get verified emails, phone numbers, and LinkedIn profile details

Find similar contacts

Discover contacts with similar roles, seniority, or companies

Perform deep contact research

Uncover insights like skills, work history, social links, and more

Discover, research and enrich contacts with Highperformr — Smarter, Faster

Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.

Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.

  • Track signals like job change, promotion, and LinkedIn activity
  • Enrich contacts with verified email, phone, and social data instantly
  • Automate enrichment and updates with powerful workflows
  • Sync enriched contact info directly into your CRM and tools

Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.

Thousands of companies, including, are just a search away.