asa adadey
Business Intelligence Developer at Johns Hopkins Medicine
business intelligence developer john hopkins medicine
multiple-project experience applying machine learning analytics structured unstructured health care data derive patient safety insight . proficient python & sql experienced requirement gathering , knowledge acquisition , proposal design , process development , result reporting experienced modelling large scale client data integrated artificial intelligence advanced analytics generate insight towards process improvement conducted thorough interview client various commercial industry collect information business process user requirement experienced several project planning tools/techniques including gantt chart , visio flowchart , specification document , analysis plan , qa protocol
Johns Hopkins Medicine
https://www.linkedin.com/company/johns-hopkins-medicine
Applying advanced analytics and machine learning to healthcare data to help improve patient safety across the Johns Hopkins Health System
Baltimore, Maryland, United States
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Business Intelligence Developer
ECRI
https://www.linkedin.com/company/ecri-org
Plymouth Meeting, Pennsylvania, United States
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Data Scientist
ECRI Institute
https://www.linkedin.com/company/ecri-org
- Developed analytical process to parse clinical event report narratives and identify categorical labels,
leading to a three-fold+ increase in accuracy over the previous approach.

- Implemented machine learning pipeline to automate large scale categorical prediction of event report
narratives, providing structural context to over 2.7 million records.

- Led business team through a strategic growth planning process, including SWOT analysis, competitor
analysis, asset mapping, and executive strategy integration.

- Co-managed development of reporting and visualization dashboards for a client survey tool.
Plymouth Meeting, PA
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Data Scientist
FoodieComm, LLC
- Designed and implemented technology stack for a social networking app, employing tools such as
Meteor, AngularJS, Google Analytics, Scalingo and Gitlab.

- Developed vision and business goals for company including budgeting, project scope, three-year
development plan, alpha testing plan, and statistical analysis plan.

- Played key role in product design and presentations/demo.

- Played key role in recruitment of development team and business partners.
Greater Philadelphia Area
Lead Software Engineer
Enterra Solutions, LLC
https://www.linkedin.com/company/enterra-solutions-llc
Software Engineering: Development on novel projects as well as feature updates and bug fixes on existing services. Development on web services integrating PHP, HTML, Java, and SQL

Cognitive Platform Development: Modelling of large scale client data integrated with artificial intelligence and advanced analytics to generate insights towards process improvement

Client Services: Requirements gathering, knowledge acquisition, proposal design, process development, and reporting based on personal client communication

Project Support: Statistical inference, database architecture, software design, and internal utility development to support multiple Solutions-as-a-Service offerings
Newtown, PA
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Associate Software Engineer
Massachusetts Institute of Technology (MIT)
https://www.linkedin.com/company/mit
Performed independent research investigation into alternative splicing mechanisms in intragenic exons

Created scripts in Perl, Python, and MATLAB, utilizing several computational techniques such as nonparametric hypothesis testing, linear regression and correlation, Bayesian inference, and graphical plotting

Analyzed and interpreted high throughput RNA sequencing data, gene ontology, RNA binding motifs, and gene expression data towards a structured analysis of alternative splicing

Made new discoveries concerning consecutive alternative splice sites in introns consistent across multiple species and animal tissue, soon to be published
Cambridge, MA
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Graduate Research Assistant
Massachusetts Institute of Technology (MIT)
https://www.linkedin.com/company/mit
Supported faculty in teaching a biology class of 300 undergraduate students

Independently taught 42 students twice a week, reinforcing topics covered in main lecture via demonstrations and interactive discussions

Worked one-on-one with students after hours, assessing individual needs and clarifying topics in a way catered to their needs

Received several positive reviews from students, especially concerning depth of knowledge and clarity of teaching
Cambridge, MA
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Graduate Teaching Assistant
University of Maryland Baltimore County
https://www.linkedin.com/company/university-of-maryland-baltimore-county
Catonsville, MD
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Undergraduate Research Assistant
Stanford University School of Medicine
https://www.linkedin.com/company/stanford-university-school-of-medicine
Palo Alto, CA
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Summer Research Intern
Harvard University
https://www.linkedin.com/company/harvard-university
Cambridge, Massachusetts
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Summer Research Intern
Master of Science (M.S.)
Computational and Systems Biology
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Massachusetts Institute of Technology
https://www.linkedin.com/school/mit/
Bachelor of Science (BS)
Major in Bioinformatics, Minors in Statistics and Computer Science.  Conducted research on campus for 3 years.  Published in two papers.
Bioinformatics & Computational Biology
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University of Maryland Baltimore County
https://www.linkedin.com/school/university-of-maryland-baltimore-county/
Richard Montgomery High School
Natural and synthetic biological networks must function reliably in the face of fluctuating stoichiometry of their molecular components. These fluctuations are caused in part by changes in relative expression efficiency and the DNA template amount of the network-coding genes. Gene product levels could potentially be decoupled from these changes via built-in adaptation mechanisms, thereby boosting network reliability. Here, we show that a mechanism based on an incoherent feedforward motif enables adaptive gene expression in mammalian cells. We modeled, synthesized, and tested transcriptional and post-transcriptional incoherent loops and found that in all cases the gene product adapts to changes in DNA template abundance. We also observed that the post-transcriptional form results in superior adaptation behavior, higher absolute expression levels, and lower intrinsic fluctuations. Our results support a previously hypothesized endogenous role in gene dosage compensation for such motifs and suggest that their incorporation in synthetic networks will improve their robustness and reliability.
Synthetic incoherent feedforward circuits show adaptation to the amount of their genetic template
Molecular Systems Biology
http://www.nature.com/msb/journal/v7/n1/full/msb201149.html
A major goal of biomedical research in personalized medicine is to find relationships between mutations and their corresponding disease phenotypes. However, most of the disease-related mutational data are currently buried in the biomedical literature in textual form and lack the necessary structure to allow easy retrieval and visualization. We introduce a high-throughput computational method for the identification of relevant disease mutations in PubMed abstracts applied to prostate (PCa) and breast cancer (BCa) mutations.
Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature
Bioinformatics
http://bioinformatics.oxfordjournals.org/content/27/3/408.long
Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location. DMDM provides a unique domain-level view where all human coding mutations are mapped on the protein domain. To build DMDM, all human proteins were aligned to a database of conserved protein domains using a Hidden Markov Model-based sequence alignment tool (HMMer). The resulting protein-domain alignments were used to provide a domain location for all available human disease mutations and polymorphisms. The number of disease mutations and polymorphisms in each domain position are displayed alongside other relevant functional information (e.g. the binding and catalytic activity of the site and the conservation of that domain location). DMDM's protein domain view highlights molecular relationships among mutations from different diseases that might not be clearly observed with traditional gene-centric visualization tools.
DMDM: domain mapping of disease mutations
Bioinformatics
http://bioinformatics.oxfordjournals.org/content/26/19/2458.long
Massachusetts Institute of Technology (MIT)
https://www.linkedin.com/company/mit
• 	Successfully organized group activities with various non-profits in Cambridge, coordinating between organization leaders and group volunteers

•     Managed finances, publicity, food, and transportation for several events throughout the year

•     Served on advisory committee for CASPAR emergency shelter, providing input towards facility improvements as well as speaking on behalf of MIT community

•     Received Officer of the Month award for significant achievement and commitment to improving dorm community
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Chair of Sidney-Pacific Community Service Committee
https://www.linkedin.com/in/tarynstastny
Portland, OR
Taryn Stastny
Talent Acquisition Manager at PAE Consulting Engineers + Luma Lighting Design
https://fr.linkedin.com/in/franck-h-andrianarivo-541319a4
Paris
Franck H. Andrianarivo
Assistant Professor of French and Francophone Studies
https://www.linkedin.com/in/amundammancho
Rochester, NY
Amundam Mancho
MD Candidate - University of Rochester School of Medicine and Dentistry
https://www.linkedin.com/in/ethankoether
Greater Seattle Area
Ethan Koether
Power Integrity Engineer at Project Kuiper at Amazon
https://www.linkedin.com/in/peace-eneh-md-ba400643
Rochester, MN
Peace Eneh, MD
Anesthesiology Resident at Mayo Clinic
https://www.linkedin.com/in/charlie-allred-a6709584
Denver, CO
Charlie Allred
Quality Assurance Manager at Laticrete International
https://www.linkedin.com/in/kermshlise-picard-mph-a116b842
Stoughton, MA
Kermshlise Picard, MPH
Student at the Warren Alpert Medical School of Brown University
https://www.linkedin.com/in/chelsie-librun
Greater Boston
Chelsie Librun, PMP
Senior Technical Program Manager at Squarespace
https://www.linkedin.com/in/stacey-mgbike-7b2a5bbb
United States
Stacey Mgbike
Global HSES Specialist at John Crane
https://www.linkedin.com/in/patrick-gichuiri-baa1041a
Santa Clara, CA
Patrick Gichuiri
Senior Software Engineer at Apple
https://www.linkedin.com/in/subomiladitan
Portland, OR
Subomi Laditan
Product Manager at Microsoft
https://www.linkedin.com/in/ranjeethabharath
Greater Seattle Area
Ranjeetha Bharath
Director of Strategy; Formerly at Starbucks, McKinsey, MIT S.M & S.B., Research at Stanford
https://www.linkedin.com/in/calvin-lewis-mba-mbb-04483b155
Dallas-Fort Worth Metroplex
Calvin Lewis, MBA, MBB
Director of Operations
https://www.linkedin.com/in/joseph-hogans-b4728a10
Atlanta, GA
Joseph Hogans
Data & Analytics
https://www.linkedin.com/in/adwoa-boakye
San Francisco, CA
Adwoa Boakye
User Researcher
https://ca.linkedin.com/in/bdaphne
Calgary, AB
Daphne Basangwa
Consultant at McKinsey & Company
https://ng.linkedin.com/in/mosa-issachar-b538517b
Nigeria
Mosa Issachar
Business Development Coordinator at LEKOIL Limited
https://www.linkedin.com/in/jimmy-li-53330858
San Francisco Bay Area
Jimmy Li
Technology Development Engineering Program Manager at Apple
https://www.linkedin.com/in/didy-ncho-816ba164
Chico, CA
Didy Ncho
Clinical Pharmacy Manager at RITE AID
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Lewis-Burke would like to congratulate Nicole Parker, PhD on her one-year anniversary with the firm! Nicole advises clients on biomedical research…
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Thank you ESSENCE Magazine for featuring me in your November issue! #WomeninSTEM #BlackinSTEM #MIT #FAMU
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I made an OFFER to someone. I then get a call from his former boss, whom I knew from one of my previous jobs and was friendly with.He says -  “Oleg,…
MIT Massachusetts Institute of Technology Alumni
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UMBC
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UMBC Alumni Network
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