Samuel G. Rodriques

Samuel G. Rodriques Email and Phone Number

Building an AI Scientist at FutureHouse, Inc. @ FutureHouse
Samuel G. Rodriques's Location
San Francisco, California, United States, United States
Samuel G. Rodriques's Contact Details

Samuel G. Rodriques work email

Samuel G. Rodriques personal email

n/a
About Samuel G. Rodriques

I am an inventor and entrepreneur. In 2023, I launched FutureHouse, a new research lab in San Francisco focused on building an AI Scientist to accelerate research in biology and other complex sciences. I want science to move faster.Theoretical physics => Bioengineering => AI for scienceGrad student => Academic => Founder.

Samuel G. Rodriques's Current Company Details
FutureHouse

Futurehouse

View
Building an AI Scientist at FutureHouse, Inc.
Samuel G. Rodriques Work Experience Details
  • Futurehouse
    Director And Ceo
    Futurehouse Nov 2023 - Present
    San Francisco, Ca, Us
    Building an AI Scientist.
  • The Francis Crick Institute
    Group Leader
    The Francis Crick Institute Jan 2021 - Present
    London, England, Gb
    I ran an academic bioengineering lab, the Applied Biotechnology Lab, at the Francis Crick Institute. My lab will shut down in March 2025.
  • Petri
    Entrepreneur In Residence
    Petri Apr 2020 - Jan 2021
    Boston, Ma, Us
  • Massachusetts Institute Of Technology
    Researcher
    Massachusetts Institute Of Technology May 2019 - Apr 2020
    Cambridge, Ma, Us
    I developed the Focused Research Organization model and worked on trying to launch a Focused Research Organization for connectomics.
  • Massachusetts Institute Of Technology
    Graduate Student (Physics)
    Massachusetts Institute Of Technology Sep 2014 - May 2019
    Cambridge, Ma, Us
    I worked on a diverse array of projects in the Synthetic Neurobiology Group, including projects for :-Connectomics. Work is still in progress!-A method to record the history of gene expression into the sequence of RNA. Still in progress!-Recording neural activity at the single-cell level in humans, without damaging brain tissue. See: https://tinyurl.com/y2bd5kbb-A revolutionary new approach to 3D nanofabrication. See: https://science.sciencemag.org/content/362/6420/1281.abstract-A high-throughput method to map the distribution of cell types in a tissue sample. See: https://science.sciencemag.org/content/363/6434/1463.abstract
  • University Of Cambridge
    Master'S Student
    University Of Cambridge Sep 2013 - Aug 2014
    Cambridge, England, Gb
    As a Churchill Scholar, I worked in the Computational and Biological Learning Laboratory (CBL) in the Engineering Department at the University of Cambridge.-Studied the algorithms that the brain uses for predictive control of motor systems, with the goal of designing prostheses that can recapitulate the behavior of biological limbs.-On the side, applied insights from quantum information theory to gain new insights in classical information theory. (See "Probability Theory without Bayes' Rule," below. One additional manuscript is in preparation.)Through this research, I came to appreciate that neuroscience is fundamentally data-limited, and that we lack the tools required to obtain the high-resolution, high-coverage datasets that are necessary to decode the operation of the human brain.
  • Haverford College
    Undergraduate (Physics)
    Haverford College Aug 2009 - May 2013
    Haverford, Pa, Us
    I studied theoretical physics at Haverford College, and researched methods for calculating quantum entanglement. Quantum entanglement is a computational resource that distinguishes quantum mechanics from classical mechanics, and the ability to calculate upper and lower bounds on entanglement is essential for the design of quantum computers and the analysis of many-body quantum systems.-Applied traditional algorithms for calculating upper bounds on entanglement to study the role of entanglement in photosynthesis.-Developed a new algorithm for calculating an upper bound on entanglement that scales linearly in the size of the system, compared with traditional algorithms that scale with the 8th power of the size.-Performed the first upper bound calculations on arbitrary systems of 3 qubits.-Developed the only existing algorithm to calculate the true value of entanglement in an arbitrary mixed quantum state. (Paper in preparation.)
  • University Of Cambridge
    Undergraduate (Junior Year Abroad)
    University Of Cambridge Oct 2011 - Jul 2012
    Cambridge, England, Gb
    I spent my junior year abroad at Fitzwilliam College, University of Cambridge, taking courses in Part II Physics (final year undergraduate) and Part III Mathematics (graduate level):Exams:-Relativity (Part II Physics)-Thermal and Statistical Physics (Part II Physics)-Quantum Information Theory (Part III Mathematics)-Quantum Field Theory (Part III Mathematics)-Advanced Quantum Field Theory (Part III Mathematics)In addition, I wrote a Master's thesis entitled "Entanglement and Entropy." I fulfilled the requirements for a Master's of Advanced Studies in Mathematics, but there was a conflict in the University's Statutes and Ordinances that prevented them from awarding me the degree.

Samuel G. Rodriques Skills

Physics Applied Mathematics Python Research Mathematica Matlab Theoretical Physics Mathematical Modeling Science Latex Data Analysis Mathematics Particle Physics Neuroscience Neuroengineering Biological Engineering

Samuel G. Rodriques Education Details

  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Physics
  • University Of Cambridge
    University Of Cambridge
    Neuroscience
  • Haverford College
    Haverford College
    Physics
  • University Of Cambridge
    University Of Cambridge
    Maths

Frequently Asked Questions about Samuel G. Rodriques

What company does Samuel G. Rodriques work for?

Samuel G. Rodriques works for Futurehouse

What is Samuel G. Rodriques's role at the current company?

Samuel G. Rodriques's current role is Building an AI Scientist at FutureHouse, Inc..

What is Samuel G. Rodriques's email address?

Samuel G. Rodriques's email address is sr****@****mit.edu

What schools did Samuel G. Rodriques attend?

Samuel G. Rodriques attended Massachusetts Institute Of Technology, University Of Cambridge, Haverford College, University Of Cambridge.

What are some of Samuel G. Rodriques's interests?

Samuel G. Rodriques has interest in Mathematics, Physics, Quantum Information, Mathematical Biology, Quantum Computation, Biophysics, Bioengineering, Chaos, Complex Systems.

What skills is Samuel G. Rodriques known for?

Samuel G. Rodriques has skills like Physics, Applied Mathematics, Python, Research, Mathematica, Matlab, Theoretical Physics, Mathematical Modeling, Science, Latex, Data Analysis, Mathematics.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.