Evan Clark Email & Phone Number

New York, Ny, Us

New York City Metropolitan Area

During the pandemic XR opened the gateway for new virtual platforms to emerge. Working at ZeroSpace I’ve had the opportunity to immerse myself in the process for identifying new technology’s in what will drive the development of the metaverse. Starting with the Disguise XR platform, and Unreals nDisplay led to the first foray into virtual production. Currently, I’m working on extending these platforms while also developing new innovations in virtual events, content production, technical operations management, and digital asset management.

New York, New York, United States

Online

The world of content production and distribution is constantly evolving and the goal of Visual iCandy Media is to be one step beyond the traditional media continuum. At Visual iCandy we harness the power of the web to provide content creation and distribution services to our wide-range of clientele. Whether it be custom animations, programmed content, or licensed A/V content distribution, our focus is to consistently provide unparalleled access to media services. This is vital to continuously delivering reliable, unique, and user programmable content to our clients at the highest quality.As CTO and head systems engineer it is my aim to design the most efficient content delivery and production systems for use by our cliental. With this came the focus on understanding how content is currently delivered On-Demand and the requirements to develop a service with zero downtime. Using commercial and open-source media distribution platforms, I developed a live & On-Demand transcoding and streaming pipeline that scales according to demand and available bandwidth. In addition, we are constantly evolving our media delivery systems to include new features such as peer based http packet delivery and pseudo-streaming.

New York, New York, United States

Developing unified data aggregation techniques and systems to advance precision medicine in the landscape of CoVid19. Developing streaming data pipelines to ingest EHR data from Epic Clarity And Epic Caboodle to perform data science analysis for clinical decision support. The goal of this role is to provide a streamlined consultation service for clinicians to gain insights into their patients and treatment procedures using the most modern approaches in machine learning, genomics, and data science.

New York

Developing clinically utilizable and reproducible analysis pipelines for drug-discovery in cancer. Currently developing an analysis platform built on top of AWS with scaling compute cluster services that allow for processing of CWL workflows and execution of containerized packages in a highly scalable environment.

Charleston, South Carolina Area

Marine natural products have been one of the leading sources for the development of new compounds used to treat chronic diseases including cancer. The isolation and characterization of these compounds is necessary to improving our understanding of how they can be modified to create new targeted and highly specific treatments for disease. The work of Dr. Frank Mari at Hollings Marine Laboratory in Charleston, SC is focused on isolating and understand the amino acid sequences of peptides and proteins found within the venom of C. pupurascens in order to elucidate their function and develop new therapeutics. Previously, functional proteomics was limited by the use of solely fragmentation based identification methods such as Mass Spectrometry, however, recent advancements in mass spectrometry and de novo sequencing have greatly improved the speed and accuracy of protein identification. The use of de novo sequencing specifically has given rise to the ability to generate a homology based guide of amino acid sequences to ascertain the function of individual proteins. My work in this lab focuses on the use of transcript data obtained from the venom duct of C. pupurascens to generate a de novo assembly of gene sequences and translated amino acid sequences. What is unique about this method is that it provides an idea of the entire amino acid sequence prior to any post-translational modifications. In addition, combining this methodology with mass spectrometry provides the ability to efficiently finalize amino acid sequences previously elucidated through other characterization techniques. • Generation of De Novo assemblies from Paired-End RNA sequencing data using the Trinity assembler• Annotation of gene assemblies produced by assembly of C. Pupurascens through conosorter • Comparison and annotation of De Novo sequences using NCBI Blast+ against Uniport and NCBI databases• Conversion of DNA sequences to amino acid sequences through homology based identification

Boca Raton, Fl

The deployment of production level grid computing system for analysis of genomic sequencing data has been a long-term goal of the Lab of Dr. Massimo Caputi at Florida Atlantic Universities’ College of Medicine. Analysis of high coverage RNA sequencing data requires a scalable and highly paralyzable computing infrastructure that can manage intensive biological data queries and return results within an optimal timeframe. The construction and management of this system has been the focus of my work as a research assistant, in addition to providing training to undergraduates on how to analyze high-throughput sequencing data. During this experience, I gained a high level of knowledge in multiple areas related to engineering, bioinformatics, and computer science. These skills have provided a better understanding of how to develop reusable data analysis pipelines for information derived from genomic sequencing.My involvement in the development of the cluster project included:• Developing analysis pipelines for use with RNA-Seq data• Building distributed cluster computing systems through the HTCondor DRM framework• Management of PostgreSQL datatables and and distribution of data files• Setup of network SFTP and SMB shares for accessing lab data files• Performing splicing analysis on transcript data obtained through High-Throughput paired-end sequencing combined with the Burge lab MISO analysis program• Identifying changes in differential expression through analysis using tuxedo analysis software• Performing peak calling on CLip-Seq datasets using the MACS2 toolset for analysis of BED files• Performing gene set enrichment analysis on gene lists obtained from sequencing.

Conducted transcriptomics & RNA processing research under Dr. Massimo Caputi at Florida Atlantic Universities’ College of Medicine focused on identifying the role of the RNA binding protein SRSF1 in the CD4+ T cell activation pathway. We were primarily concerned with understanding the modulatory effect SRSF1 had on gene expression and splicing of genes during the T cell activation process. Utilizing high-throughput RNA sequencing, we were primarily concerned with identifying changes in splice variants of genes regulated by SRSF1 at the exon level using the Burge Lab MISO analysis pipeline.

Boca Raton, Fl

I served a graduate assistant for the Introduction to Research Methods course under the instruction of Dr. Tricia Meredith. The goal of this class was to provide students with a comprehensive overview of what research is and to prepare them to join labs and research organizations. I primarily assisted in providing students support in understanding scholarly research material including journal articles, data presentation, and data recording. In addition, I aided in the development of the basic lab skills course which was an extension of the introductory course for students specifically interested in biological research.

Developing novel approaches to problems in biology and medicine.

Boca Raton, Fl

I worked as an undergraduate assistant designing promotional material for use by the school to promote their unique programs and increase student interest. I primarily focused on designing visual promotional reels for the school to be shown at recruiting events and school showcases. In addition, I aided in the development and installation of visual computing severs and setting up an OSX based editing lab connected to a shared LDAP server.

Master Of Science (M.S.), Bioengineering And Biomedical Engineering

Activities and Societies: Machine Perception & Cognition Group, Galaxy @ FAU Team MemberI completed my Masters of Science.

Bachelor Of Science (B.S.), Biology/Biological Sciences, General

Activities and Societies: Council for Scholarship & Inquiry, OWLS Archery, Climbing Club of FAUI received my bachelors of science.

High School Diploma, Biology

Activities and Societies: Student Leadership Initiative, Teaching Assistant: Intro to Research, Admissions Advisor, High School Peer.