プロフィール詳細

プロジェクトを作成

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Atsarina Larasati A.に依頼

United Kingdom

Experimental and computational Biologist | Python-based data analyst

プロフィール概要

>3 years experience as computational biologist in protein data analysis using Python (data cleaning, manipulation, mining, and visualization). >5 years experience as experimental protein biologist with a focus on protein interactions, structural biology, and recombinant protein production. Diverse experience in public outreach and data communication in both corporate, academic, and costumer/consumer settings.

専門分野

• ☆ Biochemistry
• ☆ Immunoassay
• ☆ Biochemical Assays
• ☆ Structural Biology
• ☆ Apoptosis
• ☆ Biophysics
• ☆ Biotechnology & Bioengineering
• ☆ Recombinant Protein Expression
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Statistics
• ☆ Bayesian Statistics
• ☆ Python

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, Scientific and Technical Research, Systematic Literature Review

Consulting Operations Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Algorithm Design-ML, Data Visualization, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

University of Gothenburg

10月 2019 - 現在

Graduate Research Assistant / Research Assistant

Bandung Institute of Technology

1月 2017 - 12月 2018

学歴

Doctor of Philosophy

University of Gothenburg

10月 2019 - 11月 2024

認定資格

• 認定資格の詳細は未入力です。

出版物

PREPRINT

Atsarina Larasati Anindya, Torbjörn Nur Olsson, Maja Jensen, Maria-Jose Garcia-Bonete, Sally P. Wheatley, Maria I. Bokarewa, Stefano A. Mezzasalma, Gergely Katona (2024). Deciphering Peptide-Protein Interactions via Composition-Based Prediction: A Case Study with Survivin/BIRC5 .

JOURNAL ARTICLE

Atsarina Larasati Anindya, Maja Jensen, Venkataragavan Chandrasekaran, María-José García-Bonete, Shuxiang Li, Karin Andersson, Malin C. Erlandsson, Nina Y. Oparina, Björn M. Burmann, Ulrika Brath, et al. (2023). Survivin prevents the polycomb repressor complex 2 from methylating histone 3 lysine 27 . iScience.

Atsarina Larasati Anindya, Maria-Jose Garcia-Bonete, Maja Jensen, Christian V. Recktenwald, Maria Bokarewa I., Gergely Katona(2022). Bayesian progress curve analysis of MicroScale thermophoresis data . Digital Discovery. Royal Society of Chemistry ({RSC})

Najwa Nabila and Nadia Khansa Suada and Dionisius Denis and Benediktus Yohan and Annis Catur Adi and Anna Surgean Veterini and Atsarina Larasati Anindya and R. Tedjo Sasmono and Heni Rachmawati(2020). Antiviral Action of Curcumin Encapsulated in Nanoemulsion against Four Serotypes of Dengue Virus . Pharmaceutical Nanotechnology. 8. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 54--62. Bentham Science Publishers Ltd.

Anindya, A.L., Oktaviani, R.D., Praevina, B.R., Damayanti, S., Kurniati, N.F., Riani, C., Rachmawati, H.(2019). Xylan from Pineapple Stem Waste: a Potential Biopolymer for Colonic Targeting of Anti-inflammatory Agent Mesalamine . AAPS PharmSciTech. 20. (3).

Wang, Y., Van Oosterwijk, N., Ali, A.M., Adawy, A., Anindya, A.L., Dömling, A.S.S., Groves, M.R.(2017). A Systematic Protein Refolding Screen Method using the DGR Approach Reveals that Time and Secondary TSA are Essential Variables . Scientific Reports. 7. (1).