Curiosity & learning
I want to understand how things work. I enjoy exploring questions, learning about new fields and finding connections between different worlds.
In practice
Ask questions, test assumptions and keep learning.
Open to new opportunitiesMoshe
Moshe
Bashan
My background connects ecology, research and technology, from studying bird calls with deep learning to working with research data and complex technical systems.
Alongside that work, I develop independent games and tools, bringing together curiosity, creative thinking and practical problem solving.
About
Following curiosity. Building understanding.
I’m curious about how things work and how they connect, from animal behaviour and natural environments to the systems we build and the ways people use them.
My connection to nature led me to study animal sciences, with a focus on ecology and conservation. During my studies, I began exploring what sound could reveal about bird activity. That became the focus of my master’s research, combining field recordings, signal processing and deep learning to study bird vocal activity over time.
Research also brought me closer to the technical systems that make it possible. At the Hebrew University, I managed infrastructure and data workflows supporting animal movement research. Later, at ATC-Technologies, I led improvements across image recognition, technical systems and the customer experience, working closely with an overseas development team.
Alongside my professional work, I develop independent games and tools. Mar-Kav began with a wish to recreate the experience of friends playing together on one keyboard and grew into a game of its own. These projects give me room to experiment, shape interactions and bring technical and creative thinking together.
Across these different kinds of work, I care about both the result and the way I get there: staying curious, working thoughtfully and learning along the way.
Values & approach
What matters to me.
The goal matters to me.
The way I get there matters just as much.
The temple of values
Nature & conservation
Nature and its conservation matter to me personally. That connection is part of who I am, and part of what led me to study ecology and pursue research.
In practice
Consider the living systems behind the data.
Honesty & trust
Being honest, taking responsibility and keeping my word matter to me. I want the people I work with to be able to rely on me and on the work I do.
In practice
Be clear about what I know and what I do not.
Creative problem solving
I enjoy connecting ideas and exploring different ways to approach a problem. To me, a good solution combines creative thinking with practical understanding. Its quality also depends on how well it works for the person using it.
In practice
Explore alternatives, make ideas practical and consider the experience of using what I create.
Care & dedication
I take my work seriously, stay organised and pay attention to the details. I value persistence, including when a good result takes time.
In practice
Follow through, check the details and improve the result.
Working together
I aim to be an attentive and reliable teammate, contributing what I know and learning from others as we work towards a shared goal.
In practice
Listen carefully, share knowledge and build on each other’s strengths.
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Experience
Research meets real-world systems.
2023–2026
Technical Operations & Development Lead
ATC-Technologies
Led improvements across image recognition, technical systems and the customer experience.
- Guided an overseas development team from identifying needs through testing and delivery.
- Improved image recognition and alerts for challenging field conditions.
- Connected software, hardware and user needs to make systems easier to use and maintain.
2021–2023
Research Systems & Technical Operations
Hebrew University · Movement Ecology Lab
Supported animal movement research by keeping the Hula ATLAS tracking system and its supporting infrastructure running, and helping researchers work with the system and its data.
- Maintained Linux systems and communications, remotely and in the field.
- Supported data access, retrieval and backups using MySQL.
- Helped researchers use tracking systems through technical support and documentation.
2017–2023
Bioacoustics Research
Tel-Hai Academic College · Research
Combined field recordings, deep learning and ecological analysis to study bird vocal activity at Agamon Hula.
- Collected and prepared audio, including annotation and preprocessing.
- Developed and evaluated models for automated bird species identification.
- Analysed long-term activity across species, locations, seasons and times of day.
Toolkit
A toolkit for research and creation.
Research & ecology
Exploring nature through fieldwork and data.
- Research design
- Bioacoustics & ecology
Data & AI
Turning recordings and datasets into findings.
- Signal processing & models
- Analysis & visualisation
Systems & automation
Keeping technical systems useful and reliable.
- Linux & databases
- Pipelines & troubleshooting
Games & tools
Building and refining interactive experiences.
- Game & interaction design
- Prototyping & playtesting
Working with AI
Guiding development and review.
- Specifications
- Tests & review
Visual & audio
Preparing materials and exploring creative directions.
- Audio & image editing
- Visual concept studies
Languages
Hebrew
English
Spanish
Education & Research
Knowledge with context.
2020–2023Academic
degree
degree
M.Sc. in Biotechnology
Tel-Hai Academic College
Signal processing and deep learning for automated bird species identification.
2016–2019Academic
degree
degree
B.Sc. in Animal Sciences
Tel-Hai Academic College
Ecology, nature conservation and animal behavior. The starting point for my bioacoustics research.
2021
specialization
Deep Learning Specialization
Certifiedspecialization
Andrew Ng · Coursera · 5 courses
Supervised learning, convolutional and recurrent neural networks, optimization and model evaluation.
Ecological Informatics
Open access
The bioacoustic soundscape of a pandemic: Continuous annual monitoring using a deep learning system in Agmon Hula Lake Park
Abstract
Continuous bioacoustic monitoring is an emerging opportunity as well as a challenge, allowing detection of cryptic species' activity while producing high computational demands. In this paper, we present an automated framework that allows the monitoring of a large number of bird species by their vocalizations over extended periods. The framework relies on the BirdNET-Analyzer deep learning model. We applied the framework to >80 species; 20 species with the highest recall scores were selected for further analysis.
We used the framework to analyze acoustic signals recorded continuously for over two years using autonomous recorders at various locations in Agmon Hula Lake Park, Israel. During this period there was an acute outbreak of avian influenza in the area. We analyzed differences in acoustic occupancy for various species between two consecutive years (November 2020 to October 2022). We examined between-year population trends for 17 species, both migratory and resident, and found a significant decline in vocal activity between the two years for 10 species. We assume that this decline is related to the avian influenza outbreak, suggesting that the impact of the pandemic may be more widespread and affected a greater number of local species than was previously realized. This further highlights the power and effectiveness of bioacoustic monitoring in detecting cryptic but dramatic dynamics.
Abstract from the published article by Lavner, Melamed, Bashan & Vortman (2024).
Contact
Let’s connect.
Open to new opportunities and new connections.
BashanMoshe@gmail.com