Meghana Chitale Email & Phone Number
@epic.com
3 phones found area 262 and 608
LinkedIn matched
Who is Meghana Chitale? Overview
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Meghana Chitale is listed as Software Developer (R and D) at Epic, a with 16403 employees, based in Madison, Wisconsin, United States. AeroLeads shows a work email signal at epic.com, phone signal with area code 262, 608, and a matched LinkedIn profile for Meghana Chitale.
Meghana Chitale previously worked as Software Developer (R&D) at Epic and Graduate Research Assistant, Kihara Lab of Bioinformatics at Purdue University. Meghana Chitale holds Phd, Computer Science from Purdue University.
Email format at Epic
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AeroLeads found 1 current-domain work email signal for Meghana Chitale. Compare company email patterns before reaching out.
About Meghana Chitale
10+ plus years experience as a software developer and R&D team lead in healthcare software.Strong analytical skills and expertise in complex software development. Experience with project management and staff management. Currently working in financial clearance and payer authorization areas of healthcare for 5+ yearsExtensive graduate school research background in the field of computational biology.
Listed skills include Extensive Research Background In Data Mining And Computational Biology, Developing And Managing Complex Research Projects, Strong Analytical Skills, Expertise In Bioinformatics Software Development, and 8 others.
Meghana Chitale's current company
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Meghana Chitale work experience
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Software Developer (R And D)
Software Developer (R&D)
Graduate Research Assistant, Kihara Lab Of Bioinformatics
• Designed, implemented and analyzed a sequence homology based protein function prediction technique called Extended Similarity Group (ESG) method using Java and MySQL on Linux platform• Worked on the development and analysis of functional similarity networks based on Protein Function Prediction (PFP) algorithm developed in Kihara Lab of Bioinformatics, Purdue University• Designed a method to compute associations between pairs of protein function annotation terms in Gene Ontology vocabulary. Further analyzed the applicability of these associations to identify functionally coherent groups of proteins• Identify missing enzymes in the metabolic pathways based on the functional annotations of neighboring enzymes using SVMs (Support Vector Machines) and Markov Random Fields (In progress)• Participated in conception of new projects in lab and contributed ideas on existing research group projects • Actively maintain and improve ESG & PFP protein function prediction web servers • Managed and mentored more than five undergraduate students by assigning them bioinformatics based projects, delegating project tasks and monitoring their progress and results.
Graduate Teaching Assistant, Department Of Computer Science
• Conducted biweekly recitations for undergraduate ‘Software Engineering’ course involving student group projects with industrial partners like IBM, Cerner Corporation, HP, Yahoo!, and Caterpillar• Mentored the students throughout the project development lifecycle and helped them understand the Software Engineering concepts with hands on experience.
Member Of Technical Staff
• Extract-Transform-Load (ETL) tool development for Cancer Biomedical Information Grid at Washington University in St. Louis. Designed a module that parses gene annotation data from NCBI data sources, and loads the extracted data into a warehouse after converting it into a unified format. ( Java and Oracle) • Software development for the data collected by an instrument called ‘ALP 5100 HT Expert’ manufactured by Agilent Technologies, Germany. Contributed to the development of the analysis module, which allows users to construct and execute complex analysis rules to segregate the data samples. (C++)
Colleagues at Epic
Other employees you can reach at epic.com. View company contacts for 16403 employees →
Goodie Uruk
Colleague at EpicNew York City Metropolitan Area, United States
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AJ
Abbey Jansen
Colleague at EpicMadison, Wisconsin, United States
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LP
Lucas Pflug
Colleague at EpicGreater Madison Area, United States
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ZL
Ziyang Li
Colleague at EpicMadison, Wisconsin, United States
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ST
Sam Tar
Colleague at EpicVerona, Wisconsin, United States
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MA
Mayank Agarwal
Colleague at EpicPune, Maharashtra, India
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VC
Venice Cowardin
Colleague at EpicNewport News, Virginia, United States
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JM
James Monroe
Colleague at EpicPhoenix, Arizona, United States
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AS
Adelaide Sobotik, Pmp
Colleague at EpicBoulder, Colorado, United States
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DM
Diya Mitra
Colleague at EpicAtlanta Metropolitan Area, United States
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Meghana Chitale education
Phd, Computer Science
Master Of Science, Computer Science
Bachelor Of Engineering, Computer Engineering
Frequently asked questions about Meghana Chitale
Quick answers generated from the profile data available on this page.
What company does Meghana Chitale work for?
Meghana Chitale works for Epic.
What is Meghana Chitale's role at Epic?
Meghana Chitale is listed as Software Developer (R and D) at Epic.
What is Meghana Chitale's email address?
AeroLeads has found 1 work email signal at @epic.com for Meghana Chitale at Epic.
What is Meghana Chitale's phone number?
AeroLeads has found 3 phone signal(s) with area code 262, 608 for Meghana Chitale at Epic.
Where is Meghana Chitale based?
Meghana Chitale is based in Madison, Wisconsin, United States while working with Epic.
What companies has Meghana Chitale worked for?
Meghana Chitale has worked for Epic, Purdue University, and Persistent Systems.
Who are Meghana Chitale's colleagues at Epic?
Meghana Chitale's colleagues at Epic include Goodie Uruk, Abbey Jansen, Lucas Pflug, Ziyang Li, and Sam Tar.
How can I contact Meghana Chitale?
You can use AeroLeads to view verified contact signals for Meghana Chitale at Epic, including work email, phone, and LinkedIn data when available.
What schools did Meghana Chitale attend?
Meghana Chitale holds Phd, Computer Science from Purdue University.
What skills is Meghana Chitale known for?
Meghana Chitale is listed with skills including Extensive Research Background In Data Mining And Computational Biology, Developing And Managing Complex Research Projects, Strong Analytical Skills, Expertise In Bioinformatics Software Development, Research, Computational Biology, Data Mining, and Bioinformatics.
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