Samuel Rodriques
About
Detail
Co-founder and Chief Executive Officer
San Francisco, California, United States
Résumé
Jobs
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Co-founder and Chief Executive OfficerEdison ScientificJun 2025 - Current (1 year 3 months)The AI Platform for Scientific R&D- Director and CEOFutureHouseNov 2023 - Current (2 years 10 months)A non-profit building AI agents to automate research in biology.
- Group LeaderThe Francis Crick InstituteJan 2021 - Mar 2025 (4 years 3 months)I ran an academic bioengineering lab, the Applied Biotechnology Lab, at the Francis Crick Institute.
- Entrepreneur In ResidencePetriApr 2020 - Jan 2021 (10 months)
- ResearcherMassachusetts Institute of TechnologyMay 2019 - Apr 2020 (1 year)I developed the Focused Research Organization model and worked on trying to launch a Focused Research Organization for connectomics.
- Graduate Student (Physics)Massachusetts Institute of TechnologySep 2014 - May 2019 (4 years 9 months)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
- Master's StudentUniversity of CambridgeSep 2013 - Aug 2014 (1 year)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 nec
- Undergraduate (junior year abroad)University of CambridgeOct 2011 - Jul 2012 (10 months)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.
- Undergraduate (Physics)Haverford CollegeAug 2009 - May 2013 (3 years 10 months)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 b
Education
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- Doctor of Philosophy (Ph.D, PhysicsMassachusetts Institute of TechnologyJan 2014 - Jan 2019 (5 years 1 month)Funded by the Fannie and May Hertz Foundation and the NSF GRFP
- MPhil in Engineering, NeuroscienceUniversity of CambridgeJan 2013 - Jan 2014 (1 year 1 month)Funded by the Winston Churchill Foundation of the United States
- Physics, MathsUniversity of CambridgeJan 2011 - Jan 2012 (1 year 1 month)
- Bachelor of Science (BS, PhysicsHaverford CollegeJan 2009 - Jan 2013 (4 years 1 month)
Awards
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- Phi Beta KappaHaverford CollegeElected as a junior. Awarded to 4 students at Haverford College each year.
- Summa cum LaudeHaverford CollegeAwarded to two graduating students annually at Haverford College.
- FHertz Foundation Graduate FellowshipFannie and John Hertz FoundationAn elite 5 year full graduate fellowship awarded to 15 students nationally each year.
- WChurchill ScholarshipWinston Churchill Foundation of the United StatesA prestigious scholarship to fund a Master's degree at Churchill College, University of Cambridge. Awarded to 15 students nationally each year.
- HLouis Green Prize in PhysicsHaverford College Department of PhysicsAwarded to the graduating senior showing the highest level of achievement and creativity in physics coursework and research.
- ABeckman ScholarshipArnold and Mabel Beckman FoundationAwarded to 2 students from each of 40 institutions annually. Supports two summers and one intervening year of graduate research.
- HHigh Honors in PhysicsHaverford College Department of PhysicsHighest departmental award given at Haverford College, in recognition of work on my senior thesis.
- BGoldwater ScholarshipBarry Goldwater Scholarship and Excellence in Education ProgramAwarded to 300 undergraduates nationally in recognition of outstanding undergraduate research.
- NSF Graduate Research Fellowship ProgramNational Science FoundationA 3 year graduate fellowship, awarded to 2000 students nationally each year.
Publications
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- JMultipartite Quantum Entanglement Evolution in Photosynthetic ComplexesJournal of Chemical Physics JulWe investigate the evolution of entanglement in the Fenna-Matthew-Olson (FMO) complex based on simulations using the scaled hierarchy equation of motion (HEOM) approach. We examine the role of multipartite entanglement in the FMO complex by direct computation of the convex roof optimization for a number of measures, including some that have not been previously evaluated. We also consider the role of monogamy of entanglement in these simulations. We utilize the fact that the monogamy bounds are saturated in the single exciton subspace. This enables us to compute more measures of entanglement exactly and also to validate the evaluation of the convex roof. We then use direct computation of the convex roof to evaluate measures that are not dete
- TThe Pentahelix: A Four Dimensional Realization of the Spiral ArrayThe Proceedings of the AMS Special Session on Mathematical Techniques in Musical Analysis Sep SepWe propose to extend Chew's spiral array (2000), a geometric model for tonality, to four dimensions using simplical complexes so as to represent tetrachords. The spiral array represents pitch classes, triads, and keys as discretized helices embedded in three-dimensional space. Any discretized spiral, such as the pitch class helix in the spiral array, can be mapped into a tetrahelix. This map is not always one to one; the pitch class spiral, where adjacent pitches are seven half steps apart, maps to one tetrahelix, but a spiral in which adjacent pitch classes are only one half step apart maps to two tetrahelices. The building block of a tetrahelix is a tetrahedron, a 3-simplex. One full turn of the pitch class spiral corresponds to one full
- SMultiplexed Neural Recording Down a Single Optical Fiber via Optical Reflectometry with Capacitive Signal EnhancementSubmitted JunIn this paper we describe the design for an electrical recording device suitable for detecting electrical activity of single human neurons through blood vessel walls. The device could be inserted into the vasculature on a catheter and used to record with 20um spatial resolution and 1kHz temporal resolution, with no damage to brain tissue.
- PBounding polynomial entanglement measures for mixed statesPhysical Review A JulIn this paper, we exhibit an algorithm that produces an upper bound on the tripartite entanglement of a system of three qubits with computational complexity proportional to the rank of the density matrix under consideration. By comparison, standard algorithms applied previously required computational complexity proportional to the 8th power of the density matrix. We compare the algorithm to a lower bound on tripartite entanglement identified previously, and we apply this algorithm to put an upper bound on the tripartite entanglement of random three-qubit density matrices.
- Probability Theory without Bayes' RuleNOVBayes' rule can be understood as the statement that P(A,B) = P(B,A), given the definitions of joint probability distributions and conditional probability distributions. In this paper, I explore alternative ways of specifying P(B,A) in terms of P(A,B), consistent with unitarity and the definitions of conditional and marginal probability distributions. Bayes' rule turns out to be one of two possible rules in which P(A|B) has first-order dependence on P(B|A). The other rule is that [P(A|B)] = [P(B|A)]^{-1}, indicating matrix inversion. Just as Bayes' rule can be used for statistical inference, there may be other inference techniques relying on this alternative inference rule.