Experience

Palmona Pathogenomics (An Avellino Company)
• United States
• Biotechnology Research
• 1 - 100 Employee
• Genomics Data Scientist

  • Jun 2023 - Present


University of California San Diego

• United States
• Hospitals and Health Care
• 1 - 100 Employee

• PHD Candidate

  • Aug 2018 - Jun 2023

  PI: Dr. Bernhard Palsson • Lead Genome Analytics subgroup (since June 2021): represented ~17 person subgroup for funding-related deliverables and general communications, recruited 9 and mentored 2 new students, lead meetings, track progress, maintain databases • Used python machine learning (ML) on bacterial gene expression data; analyzed 3 datasets & mentored projects on 10 others in organisms across the phylogenetic tree; discover insights into transcriptional regulatory networks •… Show more PI: Dr. Bernhard Palsson • Lead Genome Analytics subgroup (since June 2021): represented ~17 person subgroup for funding-related deliverables and general communications, recruited 9 and mentored 2 new students, lead meetings, track progress, maintain databases • Used python machine learning (ML) on bacterial gene expression data; analyzed 3 datasets & mentored projects on 10 others in organisms across the phylogenetic tree; discover insights into transcriptional regulatory networks • Developed and maintained databases for interactive analysis of ML data and ChIP data • Applied genome sequencing, transcriptomic ML, and metabolic modeling to characterize strains from an adaptive laboratory evolutions to oxidative stress & high temperature tolerance; identified key mutation mechanisms and integrate ‘omics data types • Generated hypotheses to inform strain design and big data generation; analyzed experimental outcomes • Promoted highly collaborative atmosphere both in lab and with international collaborators (especially at CFB, Denmark) Show less PI: Dr. Bernhard Palsson • Lead Genome Analytics subgroup (since June 2021): represented ~17 person subgroup for funding-related deliverables and general communications, recruited 9 and mentored 2 new students, lead meetings, track progress, maintain databases • Used python machine learning (ML) on bacterial gene expression data; analyzed 3 datasets & mentored projects on 10 others in organisms across the phylogenetic tree; discover insights into transcriptional regulatory networks •… Show more PI: Dr. Bernhard Palsson • Lead Genome Analytics subgroup (since June 2021): represented ~17 person subgroup for funding-related deliverables and general communications, recruited 9 and mentored 2 new students, lead meetings, track progress, maintain databases • Used python machine learning (ML) on bacterial gene expression data; analyzed 3 datasets & mentored projects on 10 others in organisms across the phylogenetic tree; discover insights into transcriptional regulatory networks • Developed and maintained databases for interactive analysis of ML data and ChIP data • Applied genome sequencing, transcriptomic ML, and metabolic modeling to characterize strains from an adaptive laboratory evolutions to oxidative stress & high temperature tolerance; identified key mutation mechanisms and integrate ‘omics data types • Generated hypotheses to inform strain design and big data generation; analyzed experimental outcomes • Promoted highly collaborative atmosphere both in lab and with international collaborators (especially at CFB, Denmark) Show less



University of California, San Diego

• United States
• Medical Practices
• 1 - 100 Employee

• Teaching Assistant

  • Jan 2020 - Mar 2021

  Course: BENG 212 Analysis of Large-Scale Biological Data • Acted as sole teaching assistant for 18 (2020) or 29 (2021) graduate students in bioengineering and bioinformatics • Led discussion sections; designed & graded all homework; designed, mentored, & graded student projects • Received universally positive feedback in student evaluations; students appreciated ability to clearly explain concepts at simple and advanced levels, quick and detailed question responses, and enthusiasm for… Show more Course: BENG 212 Analysis of Large-Scale Biological Data • Acted as sole teaching assistant for 18 (2020) or 29 (2021) graduate students in bioengineering and bioinformatics • Led discussion sections; designed & graded all homework; designed, mentored, & graded student projects • Received universally positive feedback in student evaluations; students appreciated ability to clearly explain concepts at simple and advanced levels, quick and detailed question responses, and enthusiasm for the topic • Coursework included statistics, unsupervised learning (clustering, matrix decomposition) and supervised learning with an emphasis on biological use cases and knowledge mapping • Handled logistics for moving course online during COVID-19 pandemic Show less Course: BENG 212 Analysis of Large-Scale Biological Data • Acted as sole teaching assistant for 18 (2020) or 29 (2021) graduate students in bioengineering and bioinformatics • Led discussion sections; designed & graded all homework; designed, mentored, & graded student projects • Received universally positive feedback in student evaluations; students appreciated ability to clearly explain concepts at simple and advanced levels, quick and detailed question responses, and enthusiasm for… Show more Course: BENG 212 Analysis of Large-Scale Biological Data • Acted as sole teaching assistant for 18 (2020) or 29 (2021) graduate students in bioengineering and bioinformatics • Led discussion sections; designed & graded all homework; designed, mentored, & graded student projects • Received universally positive feedback in student evaluations; students appreciated ability to clearly explain concepts at simple and advanced levels, quick and detailed question responses, and enthusiasm for the topic • Coursework included statistics, unsupervised learning (clustering, matrix decomposition) and supervised learning with an emphasis on biological use cases and knowledge mapping • Handled logistics for moving course online during COVID-19 pandemic Show less



University of Michigan Shea Lab

• Undergraduate Researcher

  • Sep 2015 - Aug 2018

  •Investigate use of microporous scaffolds to promote engraftment, maturation, and function of stem cell derived pancreatic progenitors for treatment of Type 1 Diabetes •Improve protocol for immunofluorescent imaging of scaffold sections, quantify & statistically analyze results to demonstrate hormone and marker (co-)expression •Synthesize and characterize polymer microspheres, collaborate with Histogenics Corp to standardize polycaprolactone microsphere production, fabricate… Show more •Investigate use of microporous scaffolds to promote engraftment, maturation, and function of stem cell derived pancreatic progenitors for treatment of Type 1 Diabetes •Improve protocol for immunofluorescent imaging of scaffold sections, quantify & statistically analyze results to demonstrate hormone and marker (co-)expression •Synthesize and characterize polymer microspheres, collaborate with Histogenics Corp to standardize polycaprolactone microsphere production, fabricate scaffolds •Carry out projects in cluster seeding distribution analysis, non-human primate scaffold fabrication, and lentiviral plasmid sequencing for gene delivery •Handle mice for suturing, surgery preparation, blood and tissue harvest •Perform sterile cell culture and stem cell differentiation protocols •Train new researchers on lab practices and protocols Show less •Investigate use of microporous scaffolds to promote engraftment, maturation, and function of stem cell derived pancreatic progenitors for treatment of Type 1 Diabetes •Improve protocol for immunofluorescent imaging of scaffold sections, quantify & statistically analyze results to demonstrate hormone and marker (co-)expression •Synthesize and characterize polymer microspheres, collaborate with Histogenics Corp to standardize polycaprolactone microsphere production, fabricate… Show more •Investigate use of microporous scaffolds to promote engraftment, maturation, and function of stem cell derived pancreatic progenitors for treatment of Type 1 Diabetes •Improve protocol for immunofluorescent imaging of scaffold sections, quantify & statistically analyze results to demonstrate hormone and marker (co-)expression •Synthesize and characterize polymer microspheres, collaborate with Histogenics Corp to standardize polycaprolactone microsphere production, fabricate scaffolds •Carry out projects in cluster seeding distribution analysis, non-human primate scaffold fabrication, and lentiviral plasmid sequencing for gene delivery •Handle mice for suturing, surgery preparation, blood and tissue harvest •Perform sterile cell culture and stem cell differentiation protocols •Train new researchers on lab practices and protocols Show less



University of Michigan Undergraduate Research Opportunity Program

• United States
• Research Services
• 1 - 100 Employee

• Biomedical & Life Sciences Summer Fellow

  • May 2016 - Aug 2016

  •Developed workflow for quantitative analysis of fluorescent imaging data •Applied tools from MatLab’s Image Processing toolbox and utilized UM’s high-performance computing cluster for high-volume analysis •Demonstrated accuracy of cell counts and percent expression with statistical methods •Provided valuable insight into maturation patterns of pancreatic progenitors and in vivo implant functionality •Developed workflow for quantitative analysis of fluorescent imaging data •Applied tools from MatLab’s Image Processing toolbox and utilized UM’s high-performance computing cluster for high-volume analysis •Demonstrated accuracy of cell counts and percent expression with statistical methods •Provided valuable insight into maturation patterns of pancreatic progenitors and in vivo implant functionality



Conway Farms Golf Club

• United States
• Hospitality
• 1 - 100 Employee

• Server

  • May 2015 - Aug 2016

  Serve food and beverages to members and guests at one of Illinois’s finest clubs Serve food and beverages to members and guests at one of Illinois’s finest clubs



University of Michigan Engineering 100

• Peer Mentor

  • Sep 2015 - Dec 2015

  • Chosen for exceptional performance (top 4%) in a biotechnology engineering course/project • Guided student teams through semester engineering projects in regular meetings • Focus on big picture planning and applications of modern diagnostic technologies • Chosen for exceptional performance (top 4%) in a biotechnology engineering course/project • Guided student teams through semester engineering projects in regular meetings • Focus on big picture planning and applications of modern diagnostic technologies