Dr. Roland Probst
Roland Probst, Ph.D.Deep-Tech & MedTech Entrepreneur • Image-Guided Systems Architect
Aerospace Control • Microscopic & Bio-Physical World

Aerospace Engineer turned Deep-Tech & MedTech Entrepreneur

For decades, Dr. Roland Probst has applied aerospace control systems—the precise frameworks used to steer rockets and satellites—to manipulate the microscopic physical and biological world. He designs systems that unify sensing, actuation, and decision-making into a single deterministic loop.

By bridging high-resolution multi-modal optical sensing with deterministic field steering and real-time hardware execution, Dr. Probst has scaled breakthroughs across biotechnology, advanced cell manufacturing, healthcare, image-guided neurostimulation, and defense physical AI powered by proprietary edge control engines.

Core Identity

Unify sensing, actuation, and decision-making into a single deterministic loop—keeping loop latencies and sensor time skew at an absolute minimum.

Sensing
Multi-modal sensing
Actuation
Deterministic action-at-a-distance electric, fluidic and magnetic field control
Decision-Making
Real-time edge control engines
Loop Integrity
Ultra-low latency & sensor time skew
Active Leadership & Ventures
Co-Founder & CTO • ACUITYnano LLC
Principal Architect & CTO • Stealth Bioanalytics Venture
Managing Director • Potomac Deep Tech Foundry
Architectural Methodology

Solving Deep-Tech Commercial Bottlenecks

Bringing complex physical systems from early laboratory concepts into mission-critical commercial operation requires solving fundamental physics and data bottlenecks at their source.

The Problem I Solve

Hardware-Level Data Chaos

Modern deep-tech projects frequently fail during commercial rollout because engineering teams attempt to fix hardware-level data chaos with expensive, capital-intensive software workarounds.

Unsynchronized multi-sensor streams, latency spikes, and stochastic noise overwhelm downstream cloud and software pipelines, resulting in ballooning compute costs, fragile reliability, and failed clinical or field deployments.

My Architectural Approach

Deterministic Edge Engines & Architectures

I architect deterministic hardware and software-defined edge engines—anchored by proprietary timing and control algorithms—that eliminate bottlenecks directly at the root.

By integrating multi-sensor fusion, edge compute, and ultra-low-latency real-time control, my platforms achieve unprecedented speed, precision, and operational economics across:

• Micro-fluidic Micro-Nano Manipulation
• Image-Guided Neurostimulation
• Counter-UAS Tracking
• Physical AI & Robotics
Leadership Capabilities

Core Areas of Expertise

Comprehensive technical and strategic leadership bridging early-stage venture creation with hardware, firmware, and regulatory execution.

Venture Leadership

Venture Execution

Building & scaling deep-tech ventures from early seed stages through commercialization. Architecting enterprise business models, IP portfolios, capital allocation, and spin-outs.

Systems Engineering

Real-Time Systems

High-precision clock synchronization, embedded control architectures, low-latency edge telemetry, dynamic spatial field switching, and deterministic real-time execution.

Commercial Translation

Technology Transfer

Maturing early-stage lab innovations into compliant, scalable infrastructure under rigorous regulatory and operational frameworks (FDA, CLIA, DoD, DARPA).

Team Leadership

Multidisciplinary Teams

Assembling and leading high-performing engineering teams across hardware design, firmware development, optics, physical AI, and software architecture.

Core Technical Architecture

Image-Guided Systems & High-Fidelity Bioanalytics

A unified, closed-loop architecture integrating real-time spatial image feedback, deterministic field steering, and parallel optical sensing for high-throughput, non-destructive bioanalytics and therapy.

Dynamic Field Steering & Control

Image-Guided Dynamic Steering & Precision Clock Sync

Static guidance methods are physically constrained in deep target regions due to energy minimum limitations. Probst pioneered dynamic field inversion—rapidly switching field polarities faster than particle physical re-orientation times to establish a dynamic quasi-static potential trap.

Applicable to deep-tissue magnetic guidance, micro-fluidic positioning, and image-guided neurostimulation, the architecture incorporates high-precision timing synchronization, real-time distributed field mapping, and deterministic safety limits to deliver high targeting accuracy without phase skew.

Precision Timing SyncEliminates phase skew in multi-array switching
Closed-Loop RegulationReal-time dynamic field map calibration
Parallel Bio-Sensing & Edge Analytics

Parallel Optics Engine & Non-Destructive CQAs

Traditional bioanalytics rely on serial optical scans or software streaming that creates severe data bottlenecks. Probst engineered a high-speed parallel optics edge engine with embedded threshold filtering, achieving high real-time data bandwidth efficiency across multi-channel sensor feeds.

In cell manufacturing, this optical engine powers automated live-cell sorting based on Cell Morphology as a Critical Quality Attribute (CQA). Using spatial lighting and non-destructive vision models, the system evaluates unstained adherent cells in real time without compromising cell viability.

Label-Free SortingNon-destructive morphology CQA evaluation
Bandwidth EfficiencyHardware-defined real-time stream filtering
Core Architectural BenchmarksIntegrated Operational Specs
Clock Sync SkewUltra-Low Jitter Sync
Control Field LatencyReal-Time Execution
Edge Bandwidth EfficiencyHigh Data Suppression
Thermal ManagementLow-Power Budget

Interactive Deterministic Control Loop Simulation

Demonstrates real-time closed-loop spatial stabilization under physical/fluidic disturbances vs. unconstrained stochastic drift.

Closed-Loop Active: High-Precision Deterministic Potential TrapStatus: Real-Time Closed-Loop Active
Physical AI & Defense Crossover

Deterministic Real-Time Control for Defense & Physical AI

The control algorithms engineered to stabilize micro-structures under real-time deadlines translate directly into resolving multi-modal latency, sensor skew, and spatial tracking in Counter-UAS tracking, physical AI robotics, and defense networks.

Proprietary Framework

Deterministic Physical AI

Synchronizes multi-modal vision, tactile, spectroscopic, and force streams with active effectors under tight timing precision.

Counter-UAS Tracking

Ultra-Low Readout Latency

Presents modular phase-locking control across multi-node systems for synchronized tracking and counter-measure execution.

Integrated Edge Capabilities

Multi-Node Spatial Phase Synchronization

Synchronizes high-speed directional sensing arrays across distributed physical nodes with tight timing coherence via proprietary control protocols.

High-Efficiency Edge Streaming

Reduces network bus bandwidth usage via real-time firmware-level thresholding.

Closed-Loop Reflex Architecture

Dual-layer architecture pairing real-time hardware reflexes with agentic reasoning models.

Microelectronics Authority

Deep Microelectronics & Advanced Control Systems

Architected modular image-guided control platforms using MPSoCs and FPGAs for high-power, high-frequency electromagnetic pulse delivery in Medical and Counter-UAS applications.

Defense Crossover

Commercial-to-Defense Technology Transfer

Successfully adapted high-throughput commercial tracking hardware from ultra-fast image-guided cell sorting to solve defense-specific challenges, including Counter-UAS tracking applications.

TRL Maturation

Proven TRL 2 to TRL 8 Maturation

Led multidisciplinary engineering teams through the full R&D lifecycle, taking early-stage concepts and successfully maturing them into highly regulated, commercialized products.

Technology Scouting

Agile Technology Scouting & OTAs

Extensive experience co-founding deep-tech startups and structuring venture deals. Uniquely qualified to evaluate external hardware stacks to ensure their technologies are mature, reliable, and ready to integrate.

Venture Execution

Commercial Venture Portfolio

Building & scaling deep-tech ventures from early concepts to commercial rollout across MedTech, Bioanalytics, and Physical AI.

Active VentureCo-Founder & CTO

ACUITYnano LLC

Translates micro-fluidic control, optical sensing, and magnetic field steering into commercial platforms. Home of proprietary timing and control architectures.

Chevy Chase, MDImage-Guided Systems
Joint VenturePrincipal Architect & CTO

High-Fidelity Bioanalytics Platform

Co-developed next-generation parallel optical bioanalytics engine featuring multi-channel acquisition, real-time data suppression, and low thermal dissipation.

Stealth Bio-Optics JVParallel Optics
Venture StudioCo-Founder & Mgmt Dir

Potomac Deep Tech Foundry

Commercial venture studio building physical AI, real-time edge control, and hardware spin-outs to bridge laboratory innovations to market deployment.

Venture StudioEarly Stage → Market Spinouts
AI DiagnosticsCo-Founder & Board Chair

Medisight AI

Architects compliant AI engines analyzing multi-modal imaging dynamics and clinical histories for early disease risk prediction.

Precision AIDiagnostic Analytics
Commercial PlatformSystems Architect

Image-Guided Control Engine

Engineered high-precision timing synchronization platform for modular image-guided therapy, neurostimulation, and dynamic safety regulation.

Medical SystemsImage-Guided Therapy
Project PhaseProject Lead

Live-Cell Incubator Sorter

Automated live-cell sorting system evaluating stem cell morphology as a Critical Quality Attribute (CQA) via non-destructive vision.

ACUITYnano / Academic CollabMorphology CQA
Patents, Publications & Trade Secrets

Intellectual Property & Technical Portfolio

Issued & Pending Patents • Proprietary Control Architectures • Papers in Nano Letters, Lab on a Chip, IEEE CSM (Cover)

Identifier / PlatformTitle & Architectural Innovation OverviewCategoryStatus / Phase
Proprietary Timing Control EngineDeterministic Physical AI & Real-Time Clock Sync ArchitectureProprietary nanosecond timing synchronization framework for image-guided systems, Counter-UAS tracking, and robotics.Physical AIProprietary Core
Image-Guided Control EngineAdvanced Control Architecture for Image-Guided InterventionsHigh-precision timing synchronization, real-time dynamic switching parameter adjustments, closed-loop field regulation.Control PlatformCore Platform
Parallel Optics BioanalyticsHigh-Throughput Parallel Optical Data Acquisition EngineMulti-channel sensor mapping, real-time threshold suppression, low-power board thermal management.Parallel OpticsCommercial JV
Dynamic Magnetic Guidance PatentMethods and Systems for Magnetic Focusing of Therapeutic Agents to Deep TargetsDynamic inversion field control algorithms bypassing static field limitations for deep target guidance.Granted PatentCore IP
Micro-Fluidic Precision Control PatentArbitrary and Simultaneous Control of Multiple Objects in Micro-Fluidic SystemsMulti-layer microfluidics with dynamic feedback loops for micro-scale electrokinetic position control.Granted PatentCore IP
IEEE CSM (Cover Article)Flow Control of Small Objects On-Chip: Manipulating Micro/Nano StructuresTutorial paper on visual-feedback control for microfluidic systems and nanoscale position control.JournalCover Publication
Lab on a ChipPolymer Refractive Index Matching for Diverse Applications in MicroscopyRefractive index-matched polymer enabling diffraction-limited multi-dimensional live-cell imaging.JournalPeer-Reviewed
Academic & Professional Lineage

Multidisciplinary Foundations

From industrial process automation at major chemical Primes to Aerospace Control Ph.D., bridging to image-guided systems and physical AI.

Industrial Automation

Automation & CS

Mannheim Univ. (M.Sc. CS)

Industrial process automation at BASF & high-throughput screening entities.

Aerospace Systems

Aerospace Engineering

Univ. of Maryland (Ph.D.)

Dissertation under Prof. Benjamin Shapiro: Applied aerospace control theory to micro/nano electrokinetic traps.

Bioengineering Translation

Bioengineering Research

Fischell Dept. BioE, UMD

Magnetic particle guidance, lab-to-market translation, and real-time live human cell manipulation.

Executive Leadership

Deep-Tech Founder & CTO

ACUITYnano, Potomac, JV

Building and scaling deep-tech ventures, proprietary edge control engines, and physical AI platforms.

Connect with Roland Probst

Deploying Mission-Critical Deep-Tech

"Let's connect if you are building, investing in, or deploying mission-critical physical AI and deep-tech platforms."

Available for strategic advisory, venture co-creation, real-time edge architecture consulting, and technology transfer partnerships across FDA, CLIA, and DoD/DARPA domains.

Initiate Collaboration or Investment Inquiry