Research Projects
My research integrates fieldwork, natural history collections, genomics, and the development of digital tools to address speciation, biogeography, and conservation questions. In particular, it centers on identifying patterns of small mammal diversity and understanding speciation processes within and across islands in the Indo-Australian Archipelago. I have also engaged in projects focusing on other taxa and in different regions. Most of the tools I develop are taxon-agnostic. My collaborative work involves more than a dozen people in some projects. I strive to make research using natural history collections and genomic data accessible to students and researchers with limited technical knowledge and access to computing resources.
Small Mammal Diversity & Speciation
Understanding patterns that generate species diversity within a complex island system
This project studies small mammal diversity and speciation in Sulawesi and islands on the Sunda Shelf, Southeast Asia. During the Pleistocene, the islands on the Sunda Shelf—such as Sumatra, Java, and Borneo— were connected as a continuous landmass. In contrast, Sulawesi were formed from separate islands. The isolated mountains on these islands promote other opportunities for speciation. We conduct extensive fieldwork, perform genomic studies, and describe undocumented species as necessary.
My dissertation focuses on the in-situ diversification of hill rats (the Bunomys species group) in Sulawesi. I aim to improve phylogenetic resolution and understand how the island's geological history has shaped the group's diversity. Ultimately, I aim to deepen our understanding of speciation on a large, isolated island like Sulawesi and aid conservation efforts by improving our knowledge of species diversity and endemism.
A new species of Frateromys from the Northern Peninsula of Sulawesi, Indonesia
Molecular and morphological systematics of the Bunomys division (Rodentia: Muridae), an endemic radiation on Sulawesi
A new species of shrew (Soricomorpha: Crocidura) from Java, Indonesia: possible character displacement despite interspecific gene flow
Local endemism and within‐island diversification of shrews illustrate the importance of speciation in building Sundaland mammal diversity
Fourteen new, endemic species of shrew (genus Crocidura) from Sulawesi reveal a spectacular island radiation
A new climbing shrew from Sulawesi highlights the tangled taxonomy of an endemic radiation
A hog-nosed shrew rat (Rodentia: Muridae) from Sulawesi Island, Indonesia
Systematics and historical biogeography of Crunomys and Maxomys (Muridae: Murinae), with the description of a new species from Sulawesi and new genus-level classification
Three new species of shrew (Soricidae: Crocidura) from West Sumatra, Indonesia: elevational and morphological divergence in syntopic sister taxa
Inclusive, Open, and Accessible Software
Developing digital tools empowering new learners in evolutionary studies
My goal for this project is to promote efficient, integrative, and inclusive collection-based evolutionary studies through high-performance computing and innovative data management and data-sharing approaches. Additionally, I aim to facilitate low-cost computing practices in genomic studies, which will reduce the ecological footprint of evolutionary studies while allowing underfunded labs to benefit from the decreasing cost of genomic sequencing. I create user-friendly, memory-efficient, cross-platform apps to achieve my objectives. The development of the apps leverages emerging technologies in software development (e.g., Rust, Flutter, and CI/CD ). Furthermore, I take advantage of advancements in CPU technology and heterogenous computing to accelerate data processing and minimize reliance on expensive and power-hungry High-Performance Computing Clusters.
I developed three apps under this project: NAHPU, SEGUL, and ULLAR. NAHPU is a digital field catalog that simplifies data acquisition and management for increasingly complex collection-based evolutionary studies. The app integrates specimen, tissue, and derivative data, such as specimen photographs and audio recordings. It streamlines data management from fieldwork to the museum database, eliminating typical secondary data entry required for conventional paper-based field catalogs. SEGUL is a high-performance, memory-efficient tool for genomic studies. It is a proof of concept for a genomic tool that runs from mobile devices and personal computers to high-performance computing clusters. It enables teaching genomic analyses in environments with limited access to computing power. ULLAR is currently in the early development stage. I develop the app to minimize dependencies and simplify phylogenomic data analyses.
NAHPU: A field cataloging application for efficient, repeatable, and inclusive collection-based evolutionary studies
SEGUL: Ultrafast, memory-efficient and mobile-friendly software for manipulating and summarizing phylogenomic datasets
GPU-Agnostic, Low-cost Machine Learning Approaches
Developing on-devices, cross-platform machine-learning methods to improve biodiversity research
Other Projects
Projects on other taxa and regions
Specimen Digitization
This project is led by Dr. Nurainas at the Herbarium Universitas Andalas (ANDA) funded through the collection and data mobilization grant provided by the Global Biodiversity Information Facility (GBIF). We aim to digitize >65,000 sheets of the herbarium specimens at ANDA and make the data accessible through the GBIF portal.
Flora of Sumatra : Vascular plant collection from Batang Toru Forest deposited in ANDA Herbarium
lora of Sumatra: Vascular plant collection of selected families deposited at Herbarium of Andalas University (ANDA)
Flora Sumatra: Digitizing and data basing specimens of the Sumatran Flora deposited at Herbarium Universitas Andalas (ANDA)-Part 2
Genomics and Systematics of Antbirds in the Neotropics
I am involved in two projects led by Marky Mutchler (the University of Chicago) and Ryan Zucker (Cornell University). Both students are under the supervision of Dr. Glaucia Del-Rio, the University of Florida. We aim to understand the genomic basis of speciation and systematics of antbirds in the Neotropics.