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Daniel Martin-Alarcon Email & Phone Number

MLOps and Software Engineer at Dayhoff Labs
Location: San Francisco, California, United States 8 work roles 3 schools
1 work email found @mit.edu LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email d****@mit.edu
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Current company
Role
MLOps and Software Engineer
Location
San Francisco, California, United States
Company size

Who is Daniel Martin-Alarcon? Overview

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Quick answer

Daniel Martin-Alarcon is listed as MLOps and Software Engineer at Dayhoff Labs, a with 11 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at mit.edu and a matched LinkedIn profile for Daniel Martin-Alarcon.

Daniel Martin-Alarcon previously worked as MLOps / Software Engineer at Dayhoff Labs and MLOps Consultant at Dayhoff Labs. Daniel Martin-Alarcon holds Phd, Biological Engineering from Massachusetts Institute Of Technology.

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Email format at Dayhoff Labs

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*@mit.edu
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Profile bio

About Daniel Martin-Alarcon

Daniel Martin-Alarcon is a MLOps and Software Engineer at Dayhoff Labs. He possess expertise in molecular biology, biochemistry, python, data analysis, cell culture and 53 more skills.

Listed skills include Molecular Biology, Biochemistry, Python, Data Analysis, and 54 others.

Current workplace

Daniel Martin-Alarcon's current company

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Dayhoff Labs
Dayhoff Labs
MLOps and Software Engineer
San Francisco, CA, US
Website
Employees
11
AeroLeads page
8 roles · 16 years

Daniel Martin-Alarcon work experience

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Mlops And Software Engineer

San Francisco, Ca, Us

Mlops / Software Engineer

Current

London, Gb

Dayhoff Labs is a startup developing foundational AI models for biochemistry and synthetic biology. During my first year here, I've identified key technical needs and designed a comprehensive software infrastructure for reproducible research.- Developed a unified coding environment with custom Docker containers, standardizing workflows across projects and reducing setup time for new team members.- Implemented a robust data management system built on DVC, introducing version control and streamlining access to datasets for our research team.- Created data pipelines using Dagster, ensuring reproducibility and traceability of our scientific datasets.- Configured and optimized distributed computing on Google Cloud Platform (GCP), significantly increasing our capacity for large-scale data processing and bioinformatics calculations.- Established best practices for software engineering within our primarily academic team, bridging the gap between research and industry standards.- Contributed technical expertise to writing grant applications, leveraging my unique combination of bioengineering and software engineering skills.As an early team member, I've taken initiative in identifying technical bottlenecks, researching solutions, and implementing tools that form the foundation of our startup's technical infrastructure. My work has enabled our research scientists to focus more effectively on their research in AI-driven biochemistry and synthetic biology.

Nov 2023 - Present

Mlops Consultant

London, Gb

Jun 2023 - Nov 2023

Senior Data Scientist

Bozeman, Montana, Us

Very is a fully-distributed IoT engineering firm, partnering with clients to build systems for smart manufacturing, smart energy & utilities, consumer electronics, and connected wellness.I worked with the full stack of software engineering needed to deploy data pipelines to production. My core competency is the Python data science stack (numpy, pandas, scikit-learn) and cloud infrastructure (AWS, GCP, Terraform), but I’ve also built RESTful web applications in Django and used SQL to manage our databases. I live in the Linux CLI and Dockerized CI/CD pipelines, not in isolated Jupyter Notebooks. I practice Agile and test-driven development, setting the culture of small teams to understand clients' needs and deliver code.

Oct 2019 - Mar 2023

Assistant Data Science Instructor

New York, Ny, Us

As an independent contractor, I worked with Correlation One and the Colombian Ministry of Information and Communication Technology (MinTIC) to teach a 10-week training program in ML and Data Science, for 300 professionals chosen through a competitive application.>> I managed hundreds of students through classes and projects.>> I worked with the chief instructor (Natesh Pillai, professor of statistics at Harvard) to design and implement the final project in the curriculum.

Oct 2019 - Oct 2019

Senior Research Scientist

Hinge Bio, Inc.

Hinge is an early-stage protein engineering startup.>> Designed the company's first data processing pipeline in Python, replacing legacy methods handled in Excel.>> Created in-depth literature reviews in cancer immunotherapy, resulting in three internal white papers used by the CEO during funding negotiations.>> Wrote and managed four SBIR small-business grant applications, bringing in $125,000 of grant funding.

2017 - 2018 ~1 yr

Scientific Advisor

San Francisco, Us

Open Philanthropy is a major private science funder.>> Wrote scientific reports for non-technical decision makers, helping steer the organization's funding priorities in biotechnology and geoengineering.>> Organized a major call for research proposals. Our team triaged 120+ proposals, recruited external reviewers, conducted due diligence, and finally directed more than $10 million in grant funding to four research projects in the life sciences.

2016 - 2017 ~1 yr

Phd, Bioengineering

Cambridge, Massachusetts, Us

Ed Boyden's group develops tools to map, control, and repair the brain. My PhD focused on molecular tools to manipulate genetic molecules and program them into artificial living systems. I designed and built a new class of programmable RNA-binding proteins and a new method for designing genetic circuits using Synthetic Minimal Cells. My work led to two patents and two co-first-author publications, in PNAS and Nature Chemistry.

2011 - 2016 ~5 yrs
3 education records

Daniel Martin-Alarcon education

Phd, Biological Engineering

Massachusetts Institute Of Technology

Bs, Chemical Engineering

New Mexico State University

Exchange Student, Chemical Engineering

Tu Dortmund University
FAQ

Frequently asked questions about Daniel Martin-Alarcon

Quick answers generated from the profile data available on this page.

What company does Daniel Martin-Alarcon work for?

Daniel Martin-Alarcon works for Dayhoff Labs.

What is Daniel Martin-Alarcon's role at Dayhoff Labs?

Daniel Martin-Alarcon is listed as MLOps and Software Engineer at Dayhoff Labs.

What is Daniel Martin-Alarcon's email address?

AeroLeads has found 1 work email signal at @mit.edu for Daniel Martin-Alarcon at Dayhoff Labs.

Where is Daniel Martin-Alarcon based?

Daniel Martin-Alarcon is based in San Francisco, California, United States while working with Dayhoff Labs.

What companies has Daniel Martin-Alarcon worked for?

Daniel Martin-Alarcon has worked for Dayhoff Labs, Very, Correlation One, Hinge Bio, Inc., and Open Philanthropy Project.

How can I contact Daniel Martin-Alarcon?

You can use AeroLeads to view verified contact signals for Daniel Martin-Alarcon at Dayhoff Labs, including work email, phone, and LinkedIn data when available.

What schools did Daniel Martin-Alarcon attend?

Daniel Martin-Alarcon holds Phd, Biological Engineering from Massachusetts Institute Of Technology.

What skills is Daniel Martin-Alarcon known for?

Daniel Martin-Alarcon is listed with skills including Molecular Biology, Biochemistry, Python, Data Analysis, Cell Culture, Synthetic Biology, Biological Engineering, and Molecular Cloning.

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