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Dan Fulop Email & Phone Number

Data Scientist / Statistical and Evolutionary Geneticist at Stealth Mode Biotech
Location: Greater Boston, United States, United States 12 work roles 3 schools
1 work email found @lifeminetx.com 5 phones found area 510, 530, and 617 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 5 phones

Work email d****@lifeminetx.com
Direct phone (510) ***-****
LinkedIn Profile matched
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Current company
Role
Data Scientist / Statistical and Evolutionary Geneticist
Location
Greater Boston, United States, United States

Who is Dan Fulop? Overview

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Quick answer

Dan Fulop is listed as Data Scientist / Statistical and Evolutionary Geneticist at Stealth Mode Biotech, based in Greater Boston, United States, United States. AeroLeads shows a work email signal at lifeminetx.com, phone signal with area code 510, 530, 617, and a matched LinkedIn profile for Dan Fulop.

Dan Fulop previously worked as Consultant, Stealth stage startup at Stealth Mode Biotech and Associate Principal Data Scientist, Machine Learning at Lifemine Therapeutics. Dan Fulop holds Ph.D., Organismic And Evolutionary Biology from Harvard University.

Company email context

Email format at Stealth Mode Biotech

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{first_initial}{last}@lifeminetx.com
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Profile bio

About Dan Fulop

I am driven to find new and better ways to extract knowledge from data. I am broadly interested in evolution and natural variation, and in mining and leveraging biodiversity to meet human needs.Specialties: statistical and evolutionary genetics and genomics, molecular biology, population genetics, phylogenetics, plant development and physiology, transcriptomics, metagenomics.

Listed skills include Protein Purification, Molecular Biology, Genetics, Genomics, and 26 others.

Current workplace

Dan Fulop's current company

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Stealth Mode Biotech
Stealth Mode Biotech
Data Scientist / Statistical and Evolutionary Geneticist
AeroLeads page
12 roles · 30 years

Dan Fulop work experience

A career timeline built from the work history available for this profile.

Associate Principal Data Scientist, Machine Learning

Cambridge, MA, US

Mining fungal genomes for novel drugs- Predictive Machine Learning models & metatranscriptomics to QC & expedite RNAseq- Codon transition probability gene scoring for gene expression prediction- Primer design tool for cloning whole biosynthetic gene clusters

Oct 2022 - Aug 2023

Scientist Ii, Bioinformatics & Data Science

Berkeley, CA, US

Bioinformatics and data science to make microbes that replace synthetic Nitrogen fertilizer- Predictive modeling of lab to field product performance.- Compositional analysis of competitive bacterial colonization and microbiomes. Plant-microbe interactions.- Revamped bacterial and plant RNA-seq pipeline and analyses. RNA-seq analyses of plant and microbial.

Jun 2019 - Sep 2022

Bioinformatics/Biostatistics Research Scientist Ii

San Francisco, California, US

- Statistical Genetics: QTL mapping in mice of a modifier locus of the major cardiac development transcription factor Tbx5; WGS family-based rare variant search for Huntington’s Disease (HTT) modifier loci; GWAS and candidate gene association of cognitive delays post-treatment for pediatric brain cancer.- Tool building: cardiomyocyte maturation drug.

Aug 2017 - May 2019

Bioinformatics Scientist

Boston, Massachusetts, US

Genomics of dog ancestry and health.- Developed algorithms for reference panel based geographic placement of village dogs.- Rewrote code for generating village dog world maps to improve it and make it more robust.- Improved dog weight predictions by incorporating weight adjustments for breed and for inbreeding.

Nov 2016 - May 2017

Lecturer In Bioinformatics

San Francisco State University

- Taught R portion of the Bioinformatics course for upper level undergraduates and masters students.- Added Git to the course materials.- Transferred all assignment handling to GitHub repositories.

Aug 2016 - Dec 2016

Postdoctoral Scholar

Davis, California, US

- Developed a heterogenous HMM (Hidden Markov Model) for genotyping QTL populations and applied it to a population of 545 inbred lines, each with 12 chromosomes and 296,093 DNA variants.- Used sparse/regularized regression to infer single locus and epistatic QTL for 25 traits with up to 307,340 potential QTL, in a population of 545 BC2 and BC3 inbred.

Apr 2010 - Feb 2016

Phd Student, Organismic And Evolutionary Biology

Cambridge, Massachusetts, US

Researched the biomechanics of Catasetum pollinarium expulsion and redirection, and the molecular phylogenetics of subtribe Catasetinae.

Sep 2001 - May 2009

Teaching Fellow

Cambridge, Massachusetts, US

While in graduate school I taught eight semesters as a Teaching Fellow. I taught the following courses: Plant Biology, Genetics and Genomics, Plant Developmental Genetics, and Feeding Yourself -- Feeding the World.

Jan 2002 - May 2008

Quality Control Engineer

Molecularware, Inc.

Tested microarray data capture and management software.Wrote the software manual.Kept the company abreast of developments in biological research.

Sep 2000 - Aug 2001

Research Technician

Ithaca, NY, US

I worked on the development of a nanomotor. The aim of this nanotechnology project was to engineer the use of an F0F1-ATPase as a motor. I was in charge of protein expression, from fermentor grown E. coli and extremophile bacteria (halophiles and thermophiles), and for protein purification.

Jun 1999 - Aug 2000
3 education records

Dan Fulop education

Ph.D., Organismic And Evolutionary Biology

Harvard University

B.A., Biology

Cornell University

Licenciado En Biologia, Biology

Universidad Central De Venezuela
FAQ

Frequently asked questions about Dan Fulop

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

What company does Dan Fulop work for?

Dan Fulop works for Stealth Mode Biotech.

What is Dan Fulop's role at Stealth Mode Biotech?

Dan Fulop is listed as Data Scientist / Statistical and Evolutionary Geneticist at Stealth Mode Biotech.

What is Dan Fulop's email address?

AeroLeads has found 1 work email signal at @lifeminetx.com for Dan Fulop at Stealth Mode Biotech.

What is Dan Fulop's phone number?

AeroLeads has found 5 phone signal(s) with area code 510, 530, 617 for Dan Fulop at Stealth Mode Biotech.

Where is Dan Fulop based?

Dan Fulop is based in Greater Boston, United States, United States while working with Stealth Mode Biotech.

What companies has Dan Fulop worked for?

Dan Fulop has worked for Stealth Mode Biotech, Lifemine Therapeutics, Pivot Bio, Gladstone Institutes, and Embark Veterinary.

How can I contact Dan Fulop?

You can use AeroLeads to view verified contact signals for Dan Fulop at Stealth Mode Biotech, including work email, phone, and LinkedIn data when available.

What schools did Dan Fulop attend?

Dan Fulop holds Ph.D., Organismic And Evolutionary Biology from Harvard University.

What skills is Dan Fulop known for?

Dan Fulop is listed with skills including Protein Purification, Molecular Biology, Genetics, Genomics, Phylogenetics, R, Science, and Western Blotting.

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