I am a small business owner and scientist:
As a combination of my education, and these business leadership experiences I can bring unique perspective to the position of Dean of Applied Technology at PCC. Since I have lived in the Pasadena area for almost 20 years I can further bring locally informed perspective, while creating a welcoming work environment for the diverse workforce and student population. My small business has given me the ability to drive to completion the execution of multiple business plans using a data driven approach. While, my passion for technological development projects have naturally put me at the intersection of scientists, engineering, software developers, and marketing strategy positioning me for success as your Dean of Applied Technology.
⦁ Private foundation project to employ Self-organizing maps (artificial neural networks, a form of machine learning) to discern candidate predictive RNA transcripts for diagnosing Parkinson's Disease.
⦁ STTR project to develop and market novel dielectric mirror coatings created by nanolayering.
⦁ Currently have an SBIR project in review to create a fire monitoring system (FEMA).
⦁ Worked on several projects as needed within a startup environment.
⦁ Successfully increased acquisition throughput by ~8 fold over previous iterations of the technology by working with two consultant programmers.
In order of relevance:
Self Organizing Map (SOM) viewer (2016-2017)
⦁ Trained artificial neural networks (SOM) to sort complex genomic data into low dimensional views by clustering similar genomic segments.
⦁ Collaborated with a senior programmer at the Caltech Center for Data Driven Discovery (CD3) to create a viewer that allows a user to intuitively highlight differences in biochemical annotations of the same genome segment cluster across cell types.
Robotic enhancer assay development (2011-2017)
⦁ Designed and validated an enhancer assay used to identify over a hundred novel functional elements in the context of skeletal muscle development.
⦁ Designed and programmed a robotic method to perform this assay at high throughput scale in multiple cell lines and conditions, providing reproducible results.
Assessing the predictive capabilities of enhancer-like biochemical signatures for function (2014-2018)
⦁ Designed enhancer assay experiments to study the functional contribution of individual candidate transcriptional regulatory regions identified by varied biochemical signatures.
⦁ Integrated results from skeletal muscle development with those from collaborating labs in the contexts of glucocorticoid response, erythropoiesis, liver, and immune related lineages.
ChIP-seq pipeline development (2014-2017)
⦁ Optimized a robotic ChIP method developed in collaboration with the Caltech Protein Expression Center (PEC) for use with skeletal muscle cells (publication 3).
⦁ Optimization lead to the production of high quality biochemical occupancy measurements for several Transcription Factors and histone modifications necessary to interpret my enhancer assay results.
Bacterial genome sequencing and assembly (2015)
⦁ Magnetospirillum Magnetotacticum MS-1 is used as a model system for small independent projects offered to undergraduates at Caltech as part of an advanced lab course.
⦁ Organized a collaboration with our sequencing facility to allow my student to leverage high throughput sequencing and successfully assemble this bacterial genome (publication 2).
Monoclonal antibody production pipeline development (2007-2012)
⦁ Designed a pipeline using chemically fixed large antigens to mimic native ChIP-seq conditions as ChIP grade antibodies are notoriously difficult to obtain.
⦁ This pipeline produced 150 ELISA screened candidate monoclonal antibodies made against 19 separate antigens.
⦁ Interfaced directly with different labs to develop custom protein purification projects to suit different research needs.
⦁ Created custom protocols as needed by customer labs.
⦁ Strong academic record with scientific background with a working knowledge of higher education.
⦁ Knowledge of the mission and changing roles of community colleges.
⦁ Ability to think outside the box to bring novel opportunities to PCC students.
⦁ Competence in data analysis and statistical methods.
⦁ Product management experience within a small business setting.
⦁ Road map and budget experience within a small business setting.
⦁ Scientific report writing and presentation skills.
⦁ Excellent communication skills with the ability to bridge to management, faculty, future engineers, or software developers.
⦁ Academic assessment, review methods and curriculum.
⦁ Strong knowledge of office productivity software.
1. DeSalvo G et al. (2020) To be submitted.
2. Smalley MD et al. (2015) Genome Sequence of Magnetospirillum magnetotacticum Strain MS-1. Genome Announcements 3(2).
3. Gasper WC et al. (2014). Fully automated high-throughput chromatin immunoprecipitation for ChIP-seq: identifying ChIP-quality p300 monoclonal antibodies. Scientific Reports 4(5152).
4. The mouse ENCODE Consortium. (2014) A comparative encyclopedia of DNA elements in the mouse genome. Nature 515(7527).
5. Mouse ENCODE Consortium. (2012). An encyclopedia of mouse DNA elements (Mouse ENCODE). Genome Biology 13(8).
⦁ Researcher Hill Day for Parkinson's Diseases (Upcoming March 2020)
⦁ CSHL Systems Biology: Global regulation of Gene Expression – poster (2015)
⦁ Encode Consortium meeting Stanford – lightning talk (2014)
⦁ EMBO Myogenesis meeting Acaya Lecce – poster (2014)
⦁ Summer Undergraduate Research Fellowship at Caltech (2003/05)
⦁ I am a native speaker of English and Italian.
⦁ I am conversational in French.
Companies Worked For:
Job Titles Held: