Student at the University of PennsylvaniaHOME // 00

Luc Beck

Studying Electrical Engineering and Artificial Intelligence at Penn. Fascinated by the intersection of Physics and AI.

EngineerResearcherBuilder

Coat of arms, reconstructed.

01

About

Premise

Take a system apart and put it back together until you understand exactly how it works. Then build the version that should exist.

My interests sit where hard physics meets computational theory. In my scientific research, that means biophysics: I built mathematical models of how DNA nanoswitches change shape and bind, work that fed into a drug-discovery platform now developing therapeutics. Outside science, it means building systems that move and learn, like a robotic arm I built and taught to manipulate objects with imitation learning via an Action Chunking with Transformers Policy.

I'm also interested in societal problem solving through serial entrepreneurship.

The future of manufacturing: Systems that move, learn, and build.
02

Education

Institution
University of PennsylvaniaSchool of Engineering and Applied Science
Degree
B.S.E., Electrical Engineering and Artificial IntelligenceDual major
GPA
3.95 / 4.00
Class of
2029
Coursework
Computer ScienceObject-Oriented Programming, Scientific Computing
MathematicsLinear Algebra, Multivariable Calculus, Discrete Mathematics
PhysicsMechanics, Electromagnetism
EconomicsMicroeconomics, Macroeconomics
Honors
U.S. Presidential ScholarOne of up to 161 students named nationally each year
03

Engineering

PROJ-01

Robotic Arm + ACT Policy

Building a robotic arm and training an action-chunking-with-transformers (ACT) policy on it using Hugging Face / LeRobot. Still a work in progress.

Demo
x.com/lucjbeck
Tower of Hanoi, 4 disks, recursive solution.
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Research

DNA nanoswitch, simulated as a flexible polymer. A streptavidin analyte binds a biotin, the strand loops to bridge the second, then releases.
SPEC-01

DNA Nanoswitches for Drug Discovery

Three summers building a DNA-nanoswitch platform for therapeutic discovery. I derived polymer-physics and enzyme-kinetic models predicting nanoswitch conformational states, reaction rates, and binding equilibria, and used AlphaFold and Python to model nanobody-target interactions across autoimmune and viral pathways. I ran native PAGE gel-shift assays measuring binding enhancement of nanoswitch-discovered nanobodies on the PD-1/PD-L1 complex implicated in autoimmune disease. The platform has since spun into a company developing therapeutics, with candidates advancing toward clinical trials.

Publication

First authorJournal of Emerging Investigators

Accepted — Awaiting Publication

Tethered Molecular Interactions in DNA Nanoswitches: Modeling and Controlling Local Concentration. With Wesley Wong (Harvard Medical School) and postdoctoral researcher Andy Ward.

This paper investigates how spatial constraints influence molecular binding by using DNA nanoswitches, programmable DNA scaffolds that position binding partners at defined distances. By integrating gel-based experiments with a polymer physics model, we quantify how binding-site arrangement affects the probability of loop formation through changes in effective local concentration. The results provide a generalizable approach for predicting and controlling tethered biomolecular interactions in synthetic and biological systems.
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Experience

ROLE-01

Summers 2024 and 2025

Cambridge, MA

Northpond Ventures

Venture Capital Intern

I evaluated spinning DNA-nanoswitch drug-discovery technology out into a new company, Merge Bio, assessing platform scalability, IP positioning, and commercialization strategy. I built the financial model end to end, a risk-adjusted revenue build, DCF, and sensitivity analyses spanning market sizing, pricing benchmarks, and probability-of-success adjustments across clinical phases. I also authored the scientific positioning on nanoswitch-based therapies for Type 1 Diabetes, covering PD-1/PD-L1 agonist mechanisms and the competitive landscape. The work fed into a $15M seed round.

ROLE-02

Summer 2025

Construct Capital

Summer Analyst

I'm building AI agent infrastructure that streamlines the firm's internal workflows and the screening of inbound companies, accelerating deals through the pipeline.