MARZIEH ZAREThe thinking behind the thinking

COMPUTATIONAL NEUROSCIENCE × APPLIED AI

A computational neuroscientist, building AI for brain prediction.

I help research, clinical, and pharma teams design how AI and foundation models work on neural data, and I'm building the platform that does it at scale.

SERVICES

How I work with teams

Three ways to bring me in, from a single strategic question to embedded leadership.

01

AI & brain-data strategy

Research leaders · clinical teams · pharma R&D

Before anyone writes a line of code, I help you figure out what's worth building, and how.

  • Where foundation models create real value in your data
  • A prioritized roadmap scoped to your goals
  • Methodology and study design you can trust
  • An honest read on what's feasible now vs. what isn't
02MOST COMMON

Fractional Chief NeuroAI Officer

Teams building a brain-data capability without a full-time hire

I design the approach and direct the build. You get an architect, not just an advisor.

  • Technical direction and model architecture decisions
  • Hands-on analysis scoped to the right people
  • Translation between the science and the product
  • From first prototype to a result you can stand behind
03

Research partnership

Universities · hospitals · labs

I partner on the science, turning your data into peer-reviewed work and real capability.

  • Study design and analysis methodology
  • Co-authorship on resulting publications
  • Support on grants and joint proposals
  • Bridge between clinical questions and machine learning

WHAT THE ENGAGEMENT COVERS

From raw brain signal to production AI.

Everything neurotech research and clinical teams need, from first data audit to a system your engineers can own and operate.

01

Neural data & signal audit

I read your raw data, processing pipeline, and signal quality end-to-end, before any model is chosen or built.

02

Foundation model selection

Evaluate which models genuinely fit your biomarker task, separating real capability from benchmark performance.

03

Closed-loop AI systems

Build BCI and neuromodulation pipelines your team can own, iterate on, and take to the next regulatory milestone.

04

FDA & CE documentation

Prepare your AI documentation for regulatory submission, written by someone who understands both the algorithm and the pathway.

05

Roadmap & bet prioritization

Rank the right AI bets for your signal type, clinical context, and timeline, and name the wrong ones before they cost you.

06

Stakeholder translation

Turn neurotech AI into clear language your board, investors, and clinical leadership can act on, without losing the science.

HOW AN ENGAGEMENT RUNS

From inside, not from a deck.

A four-phase engagement designed to make me redundant on purpose, your team owns it when we're done.

01WEEK 1–2

Signal audit

I read your raw data, processing pipeline, and existing AI stack, before any model is chosen.

02WEEK 3–4

Strategy memo

A ranked set of AI bets scoped to your signal type, regulatory path, and timeline, with the wrong ones named.

03MONTH 2+

Embedded build

Two days a week alongside your team, building the system, not advising from the sidelines.

04ONGOING

Handoff & ownership

Your team owns the system. I make myself redundant, that's the point.

Marzieh Zare
30+publications
430citations · h9
12+yrs experience

THE PRACTITIONER

A decade at the intersection of neuroscience and applied AI.

I've spent my career at the intersection of neuroscience and applied AI, modeling brain dynamics and neural criticality, applying machine learning to real EEG data, and building production AI systems in industry, from multi-agent LLM systems to computer vision.

I know which approaches survive contact with real neural data, and which collapse the moment they meet your biology. I make the call from the signal, not from a vendor's benchmark sheet.

  • Ph.D., Theoretical Physics (complex systems), University of North Texas
  • Research Associate, Dept. of Psychology, Université Laval
  • Research across UC San Diego · IPM · Université de Montréal · Shahid Beheshti
  • Finalist, AI Innovator of the Year, Women in AI Awards North America (2023)

WHO I WORK WITH

A few kinds of teams sitting on neural data with something real to build.

Device & Platform Companies

Series A–C · FDA-track or CE-marked

  • You have hardware and neural signal data but no AI strategy
  • You need AI features that survive regulatory scrutiny
  • Your investors are asking about the AI roadmap
  • You want a cleared or clearable AI layer, not a prototype

BEST FITFractional Chief AI Officer, with strategy up front

PRIMARY FOCUS

Clinical Researchers & Scientists

Academic labs · CROs · pharma R&D · hospital networks

  • Running trials with EEG, MEG, LFP, or implant data
  • Need biomarker models that hold up to peer review
  • Want predictive endpoints, not just descriptive stats
  • Building toward commercialization of research findings

BEST FITResearch partnership, plus strategy on methodology

Entrepreneurs & Founders

Pre-seed–Series A · neurotechnology

  • Building a neurotech product for the first time
  • Need someone who knows both the neuroscience and the AI
  • Want to avoid costly bets before you've found PMF
  • Looking for a technical co-pilot, not a consulting deck

BEST FITFractional Chief AI Officer, with strategy to de-risk

PLATFORMS BUILT

I don't just advise on NeuroAI. I build it.

Across clinical, research, and consumer neurotech, production platforms that close the gap between neural data and real-world decisions.

CLINICAL PRACTICE MANAGEMENT

Patient management, progress tracking, and integrated EEG + questionnaire data for neurologists and neurotech clinicians

EEG + questionnaire fusion · longitudinal tracking · multi-agent AI · HIPAA-compliant

CONSUMER NEUROTECH

Brain data upload & analysis platform for biohackers & quantified-self users

Multi-agent AI · EEG parsing · plain-language insights

CLINICAL TRIALS

Foundation-model predictions for trial endpoints & responder stratification

Foundation models · biomarker signals · Phase I–III · in development

DEVICE INTERVENTION TRACKING

A Strava for brain health, tracking device-based and lifestyle brain interventions over time

Covers neurostimulation, meditation, sleep, and wearable-based interventions · longitudinal brain health scoring · personalized response tracking

MORE COMING

New platforms in active development across clinical, research, and consumer neurotech

Have a use case in mind? I'm always interested in where neural data meets unmet clinical or research need.

ENGAGEMENTS

Three ways to work together.

No discovery theatre, no "contact sales." Where I can put a number on it, I do.

1

Research partners

clinical researchers & academic labs
  • Study design and analysis methodology you can publish
  • Predictive and biomarker modeling on your data
  • Co-authorship on the resulting papers
  • Joint grant applications and proposal support

Scoped around the science and the funding, through co-authorship or a grant line, not a monthly fee.

Start a collaboration
2

Pharma & enterprise R&D

custom programs
  • Senior AI and scientific advisory across your program
  • Embedded technical leadership for a defined initiative
  • Predictive modeling and methodology for trial and neural data
  • Scope and terms set to the program

Larger programs are scoped custom, let's size it to what you're trying to do.

Talk through a program
3

Build partners

device companies & founders

Strategy Sprint

The memo + roadmap

4 weeks · fixed fee

$15K–$25K

  • Full audit of your neural data pipeline and signal quality
  • A no-jargon NeuroAI strategy memo: ranked bets that fit your signal, regulatory path, and timeline
  • A prioritized build roadmap, what to build, in what order, and the effort it takes
  • 90-minute leadership walkthrough
Start the sprint

Embedded Fractional

Two days a week, in-house

Monthly retainer · ongoing

~$15K / mo

  • Embedded two days a week, shipping alongside your team
  • BCI, neuromodulation, or biomarker pipeline development
  • Hiring and mentoring your first neural AI engineers
  • Scales down as your team takes over
Talk it through

Start with the 4-week sprint. If the roadmap isn't worth it, we don't continue, no retainer lock-in.

LET'S WORK TOGETHER

The right AI strategy starts with the right signal.

If you're sitting on neural data with something real to build, let's find out if I'm the right person to help.