aaron aguhob
Junior Bioinformatics Developer at Cyrus Biotechnology
bioinformatics software developer cyrus biotechnology
biomedical engineer web developer desire revolutionize medicine .
Cyrus Biotechnology
https://www.linkedin.com/company/cyrus-biotechnology
Seattle, Washington
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Junior Bioinformatics Developer
University of Virginia Department of Biomedical Engineering
https://www.linkedin.com/company/university-of-virginia-department-of-biomedical-engineering
•	Investigating genetic variation in smooth muscle cell phenotype expression in relation to atherosclerosis
•	Developed skills in cell culture protocols, protein extraction and RNA isolation in addition to statistical analysis using bioinformatic workflows
•	Concentration in bioinformatics and cell culture under the supervision of Dr. Mete Civelek and Dr. Redouane Aherrahou in the Center for Public Health Genomics
Charlottesville, Virginia
Undergraduate Research Assistant
University of Virginia Department of Biomedical Engineering
https://www.linkedin.com/company/university-of-virginia-department-of-biomedical-engineering
Assisting students during class and in an online class forum for BME 4550: Data Science instructed by Dr. Mete Civelek. Tasked with facilitating office hours for additional help, developing class quizzes based on lecture material in bioinformatics, and assisting in troubleshooting pipelines and workflows for class use
Charlottesville, Virginia
Teaching Fellow
Central Intelligence Agency
https://www.linkedin.com/company/central-intelligence-agency
Served the Directorate of Science and Technology (DS&T) in the Office of Special Activities (OSA) by evaluating new software suites to support mission needs using established understanding of bioinformatics tools such as HISAT2, BWA, and BLAST. Helped to inform technical solutions for the intelligence community by applying knowledge in biological sciences. Continued to learn CIA culture while expanding my technical network to better familiarize myself with security, policies and the Agency mission.
Washington D.C. Metro Area
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Biomedical Engineer Intern
Central Intelligence Agency
https://www.linkedin.com/company/central-intelligence-agency
Served under the Directorate of Digital Innovation (DDI), Information Technology Enterprise (ITE) as a front and back end application developer in automation services, GUI and code upkeep for Agency network services using Agile software development practices. Performed regression testing and assisted in code reconciliation while overhauling and improving automation code. Programmed complete overhaul of back-end Agency automated network services using Java, SQL, and Unix to improve previous functions and provide new capabilities. Worked to understand and contribute to the Agency mission while developing technical expertise, leadership, critical thinking and communication.
Washington D.C. Metro Area
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Web Application Developer Intern
Bachelor of Science - BS
Biomedical Engineering, Minor in Computer Science
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University of Virginia
https://www.linkedin.com/school/university-of-virginia/
Serving as a committee member to help promote Tom Tom Festival student outreach to the University of Virginia student body through marketing and organization cosponsorships.
Buffalo Bureau
Committee Member
Springfest Committee:
-	Solicited participating vendors for the annual UVA spring celebration event
A&E Committee:
-	Program coordinator for several arts related events catered to the UVA community
University Programs Council (UPC)
PKG Concerts Committee Member, Springfest Committee Member, Arts & Enrichment (A&E) Committee Member
Historic Chair, April 2016 – April 2017
Documented events through photography and other media. Facilitated interaction between alumni and undergraduates. Promoted Filipino culture and history through events

Scholarship Endowment Chair, April 2015 – April 2016
Fundraised money for the OYFA Excellence Scholarship. Designed a mentorship program to encourage academic interaction between first years, upperclassmen, and alumni. Established the first ever full time Sushi King sponsorship of the OYFA Scholarship Endowment Fund
Organization of Young Filipino Americans (OYFA)
Historic Chair, Scholarship Endowment Chair
One of two directors overseeing Second Year Council. Coordinated events for the Class of 2018 and helped advise First Year Council. Also continuing to serve as a peer advisor for incoming first year engineering students
Engineering Student Council (ESC)
Class Representative, Peer Advisor
Coronary artery disease (CAD) is a major cause of morbidity and mortality worldwide. Recent genome-wide association studies revealed 163 loci associated with CAD. However, the precise molecular mechanisms by which the majority of these loci increase CAD risk are not known. Vascular smooth muscle cells (VSMCs) are critical in the development of CAD. They can play either beneficial or detrimental roles in lesion pathogenesis, depending on the nature of their phenotypic changes.
Genetic regulation of atherosclerosis-relevant phenotypes in human vascular smooth muscle cells
Circulation Research
https://www.ahajournals.org/doi/abs/10.1161/CIRCRESAHA.120.317415
University of Virginia School of Engineering and Applied Science
Dean's List
University of Virginia School of Engineering and Applied Science
Dean's List
University of Virginia School of Engineering and Applied Science
Dean's List
Biomechanics
BME 2220
Biomedical Engineering Design and Discovery
BME 2000
Biomedical IDEAS Lab I
BME 3080
Biomedical IDEAS Lab II
BME 3090
Biomedical Systems Analysis and Design
BME 3310
Biotransport
BME 3240
Cell & Molecular Biology for Engineers
BME 2104
Computational BME
BME 2315
Data Science
BME 4550
Database Systems
CS 4750
Discrete Math
CS 2102
Internet Scale Applications
CS 4501
Introduction to Programming
CS 1110
Physiology I for Engineers
BME 2101
Physiology II
BME 2102
Program and Data Representation
CS 2150
Software Development Methods
CS 2110
To identify how the atherosclerosis-associated genetic variants perturb gene expression in aortic smooth muscle cells, a key cell type in the disease process, we will sequence RNA isolated from smooth muscle cells of 150 heart transplant donors. In this project, I will align the sequencing reads and quantify the transcripts using established RNAseq data analysis pipelines. I will then calculate the association of transcript abundance with genetic variants using mixed linear models. Another aspect of the project will involve devising a method or pipeline for determining mitochondrial DNA (mtDNA) variants and association mapping of those variants with quantitative phenotypes measured in these donors to determine if the mitochondrial genetic environment plays a role in SMC phenotypes. SMC phenotypic variation in calcification, migration and proliferation will also be tested in culture to eliminate the possibility of technical variation as opposed to genetic variation in phenotype expression
Genetic Perturbation of Transcriptional Networks in Smooth Muscle Cells
Vascular smooth muscle cells (SMC) are key players that are involved in the initiation and development of atherosclerosis via proliferation, migration and calcification processes. The pathological mechanisms leading to this complex disorder are still unclear. Previously, large phenotypic variation was observed as a result of genetic differences among the donors. However, it was unclear if these differences were due to technical error or genetics. Thus, the aim of this project was to culture SMC from five different donors in order to study the effect of passage number on the three SMC functions: calcification, migration and proliferation.
Analysis of Passage Related Vascular Smooth Muscle Cell Phenotypic Variation
To understand potential genetic factors involved in Parkinson's Disease (PD), data sets from a previously published study (Dumitriu et al. 2016) were used to determine differentially expressed genes between healthy patients and those with PD. The samples underwent quality control using FASTQC. Reads were aligned using HISAT2 (v. 2.0.5), before assembly with StringTie (v. 1.3.3). Differential gene expression analysis was conducted using both edgeR (v. 3.16.5) and DESeq2 (v. 1.14.1). Gene function classification and prioritization of the pipeline results were determined using the GeneCard database and the ToppGene analysis suite.
Parkinson's Disease RNASeq Pipeline
Tom Tom Founders Festival
https://www.linkedin.com/company/tom-tom-foundation
Volunteer at Tomtoberfest (September 2016) and the Tom Tom Founders  Summit (April 2017)
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Volunteer
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Hello Friends,My awesome Seattle biotech startup decided to pivot away from scientific software, and only do contract protein design from now on…
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DNA data storage sounds like something straight out of a sci-fi novel. And yet, here we are: blurring the lines between (wo)man and machine. Let us…
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We are hiring!  https://lnkd.in/g_ZyaXu
University of Virginia Alumni, Students, Faculty and Staff
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UVA Engineering Alumni and Friends
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