Zachary
Newmark

Zachary Newmark

Physics student applying quantitative reasoning to investing, corporate development, and scientific research.

Currently: Corporate Development Analyst Intern at Capacity · Syracuse University Class of 2028

I'm a junior at Syracuse University studying Physics with a Finance minor. My academic interests span quantitative reasoning and capital markets — I'm drawn to problems that require both rigorous analysis and sound judgment about whether a company's fundamentals support its stated strategic goals.

Currently, I'm working as a Corporate Development Analyst Intern at Capacity, where I help source and evaluate potential acquisition targets. Outside of coursework and internships, I spend time on investment research and running student organizations.

When I'm not working or studying, you'll usually find me outside: backpacking with friends, training for an Ironman, scuba diving, skiing, or playing golf. I'm also working my way through the Dune trilogy. One of my long-term goals is to visit every country in the world.

University Syracuse University
Major Physics
Minor Finance
Based St. Louis / Syracuse
Outside of work Scuba diving, skiing, golf, endurance training, backpacking, and travel.
Zachary Newmark

Corporate Development

M&A Target Sourcing · Capacity

Overview

As a Corporate Development Analyst Intern, part of my role was sourcing and filtering acquisition targets from large, unstructured datasets down to an actionable pipeline.

Objective

Map a large unstructured universe of SaaS companies down to a diligence-ready pipeline of acquisition targets aligned with strategic criteria.

Process & Funnel

~2,000
Master List
Filtered
By Revenue
Screened
Manual Review
Shortlist
Actionable Pipeline
01

Master List Intake

Started with a raw universe of ~2,000 SaaS companies.

02

Revenue Filtering

Sorted and filtered by revenue to isolate companies within the target acquisition range.

03

Criteria Screening

Manually reviewed each remaining company against sourcing criteria (software category, product fit).

04

First-Pass Shortlist

Flagged qualifying companies for deeper commercial diligence by the team.

Execution

Tools Used

PitchBookExcelCompany websitesMarket mappingManual commercial research

Evaluation Criteria

  • Software category and product fit
  • Revenue range alignment
  • Customer profile
  • Market position

Deliverable

A prioritized first-pass shortlist of qualifying companies flagged for deeper commercial diligence by the senior team.

What I Learned

The challenge was not simply finding companies, but consistently distinguishing strategic fit across product category, customer profile, market position, and acquisition criteria.

Research

TIR Domain NAD-Cleavage · Washington University School of Medicine

Research Lab headed by Dr. Aaron DiAntonio — Washington University School of Medicine

Background

I worked at the Washington University School of Medicine Research Lab headed by Dr. Aaron DiAntonio — one of the leading figures in Alzheimer's research. Working directly with Dr. DiAntonio and his team, I was part of a lab known for a landmark discovery: that SARM1 could cleave NAD via a TIR domain. This was a significant breakthrough, as TIR domains had previously been understood only as signaling proteins, not enzymes. Dr. DiAntonio is regarded as one of the leaders in this area of work.

Building on that foundational discovery, I set out to test whether other TIR domains — this time in E. coli — shared the same NAD-cleaving ability first identified in SARM1.

Research Question: "Do other TIR domains in E. coli share the NAD-cleaving enzymatic activity first identified in SARM1?"

Methodology

Research Question
Growth Curve Testing
Limitation Identified
Metabolite Detection
Promising Candidate

Initial Method

My initial method used 24-well plates, testing roughly 30 different TIR domains in E. coli (each in triplicate, to guard against experimental noise). By shining light through each well and measuring opacity over time, I could track bacterial population growth — the idea being that a TIR domain actively cleaving NAD would be toxic enough to suppress or kill the population, showing up as a change in growth rate.

Even so, this method surfaced 3 TIR domains that looked like promising candidates worth investigating further.

Experimental Limitation

The method had a fundamental limitation: since each well could only support a finite population size, a TIR domain that killed bacteria slowly produced a final readout that looked nearly identical to a well that simply grew normally and plateaued. The opacity converged either way — only the timing differed, and that timing signal wasn't reliable enough to separate a "toxic but slow" TIR domain from a normal one.

Methodological Pivot

Rather than treating the ambiguous data as a dead end, I shifted to a harder but more direct method: measuring the actual metabolic byproducts of NAD cleavage rather than inferring it indirectly through growth. I tested the 3 candidate TIR domains alongside a known negative control, sampling at 4 and 8 hours to track metabolite levels directly.

Result

This approach isolated one TIR domain that showed a genuinely promising signal for NAD-cleaving activity — the point at which I presented my findings to Dr. DiAntonio and the lab's graduate students.

Retrospective

Core Takeaway

I learned to recognize when an experimental method had a structural blind spot and to redesign the approach rather than force conclusions from ambiguous data.

Investment Research

Rocket Lab (RKLB) — Long Thesis, April–May 2026

Overview

Investment Question: "Would the market price in Neutron development milestones ahead of the test date, regardless of the outcome?"

Setup

On traditional valuation metrics, Rocket Lab looked expensive — the stock's P/E ratio was deeply negative, reflecting an unprofitable company. But we argued the market was mispricing Rocket Lab by focusing on trailing earnings rather than the transformative potential of Neutron, its next-generation reusable rocket.

Thesis

Rocket Lab was preparing for a major Neutron test, expected that summer — a milestone we believed the market would price in ahead of time, regardless of the eventual outcome. If the test succeeded, Rocket Lab would be positioned for expanded government and defense contracts, unlocking a durable, high-margin revenue stream. If the test failed, the company would face real financial strain — but by then, the stock would likely have already priced in the anticipation, rewarding investors who got in early and exited before the actual event.

Risks & Catalysts

Key Catalysts

  • Upcoming Neutron structural test — expected summer 2026
  • Anticipatory positioning by institutional investors ahead of milestones
  • Potential expanded government/defense contracts on success

Major Risks

  • Test failure or delay removing the anticipatory premium
  • Broader market selloff compressing risk-on names
  • Holding through the test itself (binary outcome)

The Trade

Trade Construction

Rather than holding through the test itself — a binary, high-risk event — we built a position ahead of the anticipated test window and planned to exit before the actual test date, capturing the hype-driven run-up without carrying the outcome risk.

Exit Rationale

"Planned exit before the actual test date to avoid carrying binary outcome risk."

Outcome

Execution & Result

Entered
Apr 15, 2026
~$2,000 pos.
Exited
May 13, 2026
~$3,368 total
Return
~68%
in 4 weeks

Presented for educational and portfolio purposes. This is not investment advice.

RKLB Anticipatory Run-up

Source: S&P Global Market Intelligence · Apr–Jul 2026

Retrospective

How It Played Out

The Neutron test itself ended up slipping to later in 2026 due to technical issues uncovered during testing. That delay validated the core risk we identified — but by exiting ahead of the actual test date rather than holding through it, the position captured the anticipatory rally without being exposed to that setback.

What I Learned

Event-driven positioning requires being precise about what the market is pricing in and what you're not willing to be exposed to. Getting in early and out before the binary event is a different skill than identifying the thesis.

Leadership

Clayton Spirit

Overview

During my junior year of high school, a friend and I co-founded Clayton Spirit, a student-led organization that created themes, events, and fundraising initiatives around Clayton High School athletic games. The initiative grew fan attendance from tens of students to hundreds. During my senior year, while serving as Senior Class President, I led fundraising efforts that helped raise more than $8,000 for student activities. More than four years later, Clayton Spirit remains active.

Hundreds
Fans at games
$8,000+
Raised for activities
4+ Years
Still active

Timeline

Junior year of high school: Co-founded Clayton Spirit

First season: Fan attendance grew from tens to hundreds of students

Senior year: Served as Senior Class President and led fundraising efforts that raised more than $8,000 for student activities

Present: Clayton Spirit remains active more than four years later

My Role

My responsibilities included co-founding the organization, planning and coordinating game-day themes, organizing fundraising efforts, managing group logistics, working with school administration, and leading broader student initiatives while serving as Senior Class President.

Clayton Spirit at a game

Building

Outbound Campaign Platform

Built a local application for lead sourcing, campaign management, automated follow-ups, API management, and email-delivery tracking.

Problem

Managing outbound campaigns across multiple tools created fragmented workflows, inconsistent follow-up, and poor tracking.

Product

A single local application consolidating lead management, campaign sequencing, and delivery tracking.

Core Features

  • Lead sourcing and organization
  • Campaign management and scheduling
  • Automated follow-up sequences
  • API integration management
  • Email delivery tracking and reporting

Technical Decisions

Built with Python and a local SQLite database, using a custom-built UI for campaign orchestration and a REST API layer for managing integrations with email delivery providers.

Lessons Learned

Building a purpose-built tool for a specific workflow teaches you to prioritize ruthlessly — every feature either solves a real friction or doesn't get built.

Pipeline AI — Leads view
Pipeline AI — Campaigns view

Skills

Research

market mappingcompany researchexperimental designscientific analysis

Finance

investment researchM&A sourcingvaluation fundamentalscommercial diligence

Tools

ExcelPitchBookPythonJupyter

Building

workflow automationapplication prototypingdata organizationAPI integrations

Zach at a Glance

Academic

Major
Physics — Syracuse University
Minor
Finance
Honors
Dean's List
Class Standing
Junior — Class of 2027

Leadership & Awards

Class Role
Senior Class President
Organization
Co-Founder, Clayton Spirit
Award
Spirit of the Greyhound(inaugural recipient)
Fraternity
Deke (Delta Kappa Epsilon)
Investing
Contrarian Investment Fund

Professional Skills

Domain Expertise
Commercial Diligence · Pricing Models · P&L
Industry Exposure
AI SaaS · CX Software
Technical
Python · Excel · PitchBook · SQL · Jupyter

Contact

I'm always interested in conversations about investing, corporate development, scientific research, and early-career opportunities.